Best Practices for

Road Weather Management

 

 

 

 

Version 2.0

 

 

Prepared by

Lynette C. Goodwin

Sr. Transportation Engineer

Mitretek Systems, Inc.

 

 

 

for

 

Paul Pisano, Team Leader

Road Weather Management Program

Office of Transportation Operations

Federal Highway Administration

 

 

 

 

May 2003


       

 


Table of Contents

 

Introduction. 1

 

Alabama DOT Low Visibility Warning System.. 3

California DOT Motorist Warning System.. 5

City of Palo Alto, California Flood Warning System.. 8

City of Aurora, Colorado Maintenance Vehicle Management System.. 10

Florida DOT Motorist Warning System.. 12

City of Clearwater, Florida Weather-Related Signal Timing. 14

Idaho DOT Anti-Icing/Deicing Operations. 17

Idaho DOT Motorist Warning System.. 20

Michigan Maintenance Vehicle Management System.. 22

Minnesota DOT Access Control 25

Minnesota DOT Anti-Icing/Deicing System.. 28

Montana DOT Anti-Icing/Deicing Operations. 32

Montana DOT High Wind Warning System.. 35

Nebraska Road Weather Information for Travelers. 37

Nevada DOT High Wind Warning System.. 39

New Jersey Turnpike Authority Speed Management 42

City of New York, New York Anti-Icing/Deicing System.. 44

City of Charlotte, North Carolina Weather-Related Signal Timing. 46

Oklahoma Environmental Monitoring System.. 48

South Carolina Hurricane Evacuation Operations. 51

South Carolina DOT Low Visibility Warning System.. 54

Tennessee Low Visibility Warning System.. 56

City of Dallas, Texas Flood Warning System.. 61

Houston, Texas Environmental Monitoring System.. 64

Utah DOT Fog Dispersal Operations. 66

Utah DOT Low Visibility Warning System.. 68

Virginia DOT Weather-Related Incident Detection. 70

Washington State DOT Road Weather Information for Travelers. 72

Washington State DOT Speed Management 76

Wyoming DOT Avalanche Warning System.. 80

 

List of Appendices

 

Environmental Sensor Technologies. A-1

 

Acronym List B-1

 

Online Resources. C-1

 

Publication Listing. D-1

List of Figures

 

Figure 1      California DOT Environmental Sensor Station. 4

Figure 2      City of Palo Alto, CA “Creek Level Monitor” Web Page 7

Figure 3      City of Aurora, CO In-Vehicle Device. 9

Figure 4      Florida DOT Pavement Sensor 11

Figure 5      City of Clearwater, FL Map. 13

Figure 6A    Idaho DOT Maintenance Vehicles. 15

Figure 6B    Idaho DOT Chemical Storage Tanks. 15

Figure 7      Idaho DOT Visibility Sensor 17

Figure 8      Michigan Maintenance Vehicle. 19

Figure 9      Minnesota DOT Ramp Gates and Warning Signs. 22

Figure 10    Minnesota DOT Bridge Anti-Icing System Components 24

Figure 11    Montana Freeway with Snow-Covered and Dry Pavement 27

Figure 12    Montana DOT High Wind Warning System Location. 29

Figure 13    Nebraska 511 Road Sign. 31

Figure 14    Nebraska Textual Road Weather Report 31

Figure 15    Nevada DOT High Wind Warning on DMS 33

Figure 16    City of New York, NY Anti-icing/Deicing System Operational Sequence. 37

Figure 17A  City of New York, NY Bridge Section Treated with Anti-icing/Deicing System.. 38

Figure 17B  City of New York, NY Bridge Section Treated with Truck-Mounted Sprayer 38

Figure 18    Oklahoma Environmental Monitoring System Map. 41

Figure 19    South Carolina DOT Contraflow Operations 43

Figure 20    Tennessee Variable Speed Limit Sign. 48

Figure 21    Tennessee Ramp Gate. 49

Figure 22    City of Dallas, TX Flood Warning System Sign Assembly. 51

Figure 23A  Houston Texas Water Level Gauge. 53

Figure 23B  Houston Texas Static Warning Sign. 53

Figure 24    Utah DOT Maintenance Vehicle with Fog Dispersal Equipment 55

Figure 25    Washington State DOT Route-Specific Road Weather Information Display 61

Figure 26    Washington State DOT Video of Selected Route with Vehicle Restrictions. 61

Figure 27    Washington State DOT Reduced Speed Limit on DMS.. 64

Figure 28    Wyoming DOT Avalanche Warning System Location. 67

 


List of Figures (continued)

 

Figure 29    ESS Operational Applications. A-1

Figure 30    Wind Vane. A-2

Figure 31    Propeller Anemometer A-2

Figure 32    Cup Anemometer A-3

Figure 33    Sonic Anemometer A-3

Figure 34    Heated Tipping Bucket Rain Gauge. A-3

Figure 35    Visibility Sensor A-4

Figure 36    Pavement Sensor A-4

Figure 37    Stilling Well A-5

Figure 38    Friction Meter Mounted on Snowplow.. A-5

Figure 37    Freeze Point Temperature Sensor A-6

 

 

 

List of Tables

 

Table 1      Alabama DOT Low Visibility Warning System Strategies. 2

Table 2      California DOT Motorist Warning System Messages. 4

Table 3      Idaho DOT Winter Maintenance Performance Measures. 16

Table 4      Minnesota DOT Access Control and Maintenance Costs. 23

Table 5      Montana DOT Winter Maintenance Performance Measures. 28

Table 6      Nevada DOT High Wind Warning System Messages. 33

Table 7      South Carolina DOT Low Visibility Warning System Strategies. 46

Table 8      Tennessee Low Visibility Warning System Strategies. 49

Table 9      Utah DOT Low Visibility Warning System Messages. 57

Table 10    Washington State DOT Speed Management Control Strategies. 65

Table 11    Weather Impacts on Roads, Traffic and Operational Decisions. A-7

 

 



Introduction

 

Weather threatens surface transportation nationwide and impacts roadway safety, mobility, and productivity.  Weather affects roadway safety through increased crash risk, as well as exposure to weather-related hazards.  Weather impacts roadway mobility by increasing travel time delay, reducing traffic volumes and speeds, increasing speed variance (i.e., a measure of speed uniformity), and decreasing roadway capacity (i.e., maximum rate at which vehicles can travel). Weather events influence productivity by disrupting access to road networks, and increasing road operating and maintenance costs. 

 

There is a perception that transportation managers can do little about weather.  However, three types of road weather management strategies may be employed in response to environmental threats: advisory, control, and treatment Strategies.  Advisory strategies provide information on prevailing and predicted conditions to both transportation managers and motorists.  Control strategies alter the state of roadway devices to permit or restrict traffic flow and regulate roadway capacity. Treatment strategies supply resources to roadways to minimize or eliminate weather impacts.  Many treatment strategies involve coordination of traffic, maintenance, and emergency management agencies. These mitigation strategies are employed in response to various weather threats including fog, high winds, snow, rain, ice, flooding, tornadoes, hurricanes, and avalanches. 

 

This report contains 30 case studies of systems in 21 states that improve roadway operations under inclement weather conditions.  Each case study has six sections including a general description of the system, system components, operational procedures, resulting transportation outcomes, implementation issues, as well as contact information and references. 

 

Appendix A presents an overview of environmental sensor technologies.  Appendix B is an acronym list.  Appendix C contains online resources, including 39 statewide road condition web sites.  In Appendix D hundreds of road weather publication titles, abstracts and sources are tabulated.


Alabama DOT Low Visibility Warning System

 

In March 1995 a fog-related crash involving 193 vehicles occurred on the seven-mile (11.3-kilometer) Bay Bridge on Interstate 10.  This crash prompted the Alabama Department of Transportation (DOT) to deploy a low visibility warning system.  The warning system was integrated with a tunnel management system near Mobile, Alabama.

 

System Components:  Six sensors with forward-scatter technology are used to measure visibility distance.  The visibility sensors are installed at roughly one-mile (1.6-kilometer) intervals along the bridge.  Traffic flow is monitored with a Closed Circuit Television (CCTV) surveillance system.   Video from 25 CCTV cameras is displayed on monitors in the tunnel control room.  Field sensor data are transmitted to a central computer in the control room via a fiber optic cable communication system.  The computer controls 24 Variable Speed Limit (VSL) signs and five Dynamic Message Signs (DMS), which are used to display advisories or regulations to motorists.

 

System Operations:  Two system operators staff the tunnel control room 24 hours a day.  When fog is observed via CCTV operators consult the central computer, which displays visibility sensor measurements by zone.  The warning system is divided into six zones which can operate independently.  Depending on visibility conditions in each zone, operators may display messages on DMS and alter speed limits with VSL signs (as shown in Table 1).

 

Table 1 – Alabama DOT Low Visibility Warning System Strategies

Visibility Distance

Advisories on DMS

Other Strategies

Less than 900 feet (274.3 meters)

“FOG WARNING”

Speed limit at 65 mph (104.5 kph)

Less than 660 feet (201.2 meters)

“FOG” alternating with “SLOW, USE LOW BEAMS”

·    “55 MPH” (88.4 kph) on VSL signs

·    “TRUCKS KEEP RIGHT” on DMS

Less than 450 feet (137.2 meters)

“FOG” alternating with “SLOW, USE LOW BEAMS”

·    “45 MPH” (72.4 kph) on VSL signs

·    “TRUCKS KEEP RIGHT” on DMS

Less than 280 feet (85.3 meters)

“DENSE FOG” alternating with “SLOW, USE LOW BEAMS”

·    “35 MPH” (56.3 kph) on VSL signs

·    “TRUCKS KEEP RIGHT” on DMS

·    Street lighting extinguished

Less than 175 feet (53.3 meters)

I-10 CLOSED, KEEP RIGHT, EXIT ½ MILE

Road Closure by Highway Patrol

 

When the speed limit is reduced, notices are automatically faxed to the DOT Division Office, the Highway Patrol, and local law enforcement agencies in Mobile and neighboring jurisdictions (i.e., Daphne and Spanish Ford).  If necessary, system operators request that the Highway Patrol utilize vehicle guidance to further reduce traffic speeds. During vehicle guidance operations a patrol vehicle with flashing lights leads traffic across the bridge at a safe speed. 

 

Transportation Outcome:  Although labor-intensive, the warning system has improved safety by reducing average speed and minimizing crash risk in low visibility conditions.

 

Implementation Issues:  The original system design included a vehicle detection subsystem, backscatter visibility sensors, and automated activation of signs.  Bridge deck construction precluded the installation of inductive loop detectors and vibration prevented the use of microwave vehicle detectors.  Thus, the vehicle detection subsystem had to be eliminated.  Visibility sensors with backscatter technology were deployed along the bridge in Fall 1999.  However, problems with accuracy and reliability caused the DOT to replace them with forward-scatter visibility sensors in 2000.

 

The tunnel control room was modified to incorporate monitoring and control functions for the warning system, which began operating in September 2000.   By 2004, control of the warning system will be transferred to a new Traffic Management Center that is currently under construction. 

 

 

Contact(s):

·          Gerald Criswell, Alabama DOT, Tunnel Maintenance Supervisor, 251-432-4069, criswellg@dot.state.al.us.

·          M. R. Davis, Alabama DOT, Division Maintenance Engineer,  251-470-8230, davisr@dot.state.al.us

Reference(s): 

·          Schreiner, C., “State of the Practice and Review of the Literature: Survey of Fog Countermeasures Planned or in Use by Other States,” Virginia Tech Research Council, October 2000.

·          U.S. DOT, “Mobile, Alabama Fog Detection System,” 2001 Intelligent Transportation Systems (ITS) Projects Book, FHWA, ITS Joint Program Office.

 

Keyword(s): fog, visibility, low visibility warning system, freeway management, speed management, traffic management, law enforcement, traveler information, advisory strategy, traffic control, control strategy, bridge, lighting, high-profile vehicles, motorist warning system, closed circuit television (CCTV), dynamic message sign (DMS), institutional issues, speed, safety


California DOT Motorist Warning System

 

Freeways in the Stockton-Manteca area of San Joaquin County, California are prone to low visibility conditions.  Visibility is reduced by wind-blown dust in the summer and dense, localized fog in the winter.  In the past low visibility has contributed to numerous chain-reaction collisions in the San Joaquin Valley.  To improve roadway safety on southbound Interstate 5 and westbound State Route 120, the California Department of Transportation (DOT)—also known as Caltrans—implemented an automated system to warn motorists of driving hazards.

 

System Components:  Traffic and weather data are collected from 36 vehicle detection sites and nine Environmental Sensor Stations (ESS) deployed along the freeways, as shown in Figure 1.  Detection sites are comprised of paired inductive loop detectors and Caltrans Type 170 controllers, which run software with speed measurement algorithms.  Each ESS includes a rain gauge, a forward-scatter visibility sensor, wind speed and direction sensors, a relative humidity sensor, a thermometer, a barometer, and a remote processing unit.  Traffic and environmental data are transmitted from the field to a networked computer system in the Stockton Traffic Management Center (TMC) via dedicated, leased telephone lines.  The central computer system automatically displays advisories on nine roadside Dynamic Message Signs (DMS). 

 

System Operations:  Three central computers control operation of the motorist warning system.  A meteorological monitoring computer records and displays ESS data.   A traffic monitoring computer uses a program developed by Caltrans operations staff to record, process, and display traffic volume and speed data.  Through interfaces with the monitoring computers, a DMS control computer accesses environmental and average speed data to assess driving conditions.   Based upon established thresholds for vehicle speed, visibility distance, and wind speed; proprietary control software automatically selects and displays warnings on DMS as shown in Table 2.  TMC operators also have the capability to manually override messages selected by the system.

 

Table 2 – California DOT Motorist Warning System Messages

Conditions

Displayed Message

Average speed between 11 and 35 mph (56.3 kph)

“SLOW TRAFFIC AHEAD”

Average speed less than 11 mph (17.7 kph)

“STOPPED TRAFFIC AHEAD”

Visibility distance between 200 and 500 feet (152.4 meters)

“FOGGY CONDITIONS AHEAD”

Visibility distance less than 200 feet (61.0 meters)

“DENSE FOG AHEAD”

Wind speed greater than 35 mph

“HIGH WIND WARNING”


When visibility falls below 200 feet these advisory strategies are supplemented by vehicle guidance operations carried out by the Department of Emergency Management.  On major freeway routes, California Highway Patrol officers use flashing amber lights atop patrol vehicles to group traffic into platoons, which are lead at a safe pace (typically 50 mph or 80.4 kph) through areas with low visibility.

 

Transportation Outcome: The motorist warning system improved highway safety by significantly reducing the frequency of low-visibility crashes.  Nineteen fog-related crashes occurred in the four-year period before the system was deployed.  Since the system was activated in November 1996, there have been no fog-related crashes.   Vehicle guidance operations improve also safety by minimizing crash risk.

 

Implementation Issues:  Designers considered local conditions and potential safety benefits to assess the feasibility of a warning system.  Limited sight distances, converging traffic patterns, and frequent low visibility events factored into the decision to deploy a motorist warning system on selected freeways.  These factors also guided development of system requirements.  The system had to have the capability to continuously and automatically collect, process, and display information.  System designers examined historical crash data to establish a baseline for evaluation of the motorist warning system.

 

System components include commercially available products as well as hardware and software developed by Caltrans operations staff.  The meteorological monitoring system was procured as a turnkey solution.  The ESS manufacturer installed field devices, the monitoring computer, and proprietary processing software.  Caltrans personnel designed and installed the traffic monitoring and DMS control components using standardized and commercial off-the-shelf products to minimize procurement costs and deployment time.  Because display technologies had to be visible in adverse conditions, incandescent DMS were selected based upon their readability in low visibility conditions.  After system elements were procured, installed, and calibrated operational procedures were developed, maintenance schedules and contracts were arranged, and traffic operations personnel were trained. 

 

Future system expansion was taken into account by designers.  Anticipated enhancements include the integration of the monitoring and control computers into a single workstation, incorporation of a Closed Circuit Television surveillance system for visual verification of roadway conditions, inclusion of a Highway Advisory Radio system to supplement visual warning messages, and testing of Variable Speed Limits and pavement lights.  An interface to the California Highway Patrol information system is also expected.

 

 

Contact(s):

·          Clint Gregory, Caltrans District 10, Electrical Systems Branch Chief, 209-948-7449, clint_gregory@dot.ca.gov. 

·          Ted Montez, California Highway Patrol, Public Information Officer, 209-943-8666, tmontez@chp.ca.gov.

Reference(s):

·          Fitzenberger, J., “A Way Through the Fog,” The Fresno Bee, January 5, 2003, http://www.fresnobee.com/local/story/5803504p-6771912c.html.

·          MacCarley, A., “Evaluation of Caltrans District 10 Automated Warning System: Year Two Progress Report,” California PATH Research Report UCB-ITS-PRR-99-28, August 1999, http://www.path.berkeley.edu/PATH/Publications/PDF/PRR/99/PRR-99-28.pdf.

·          Schreiner, C., “State of the Practice and Review of the Literature: Survey of Fog Countermeasures Planned or in Use by Other States,” Virginia Tech Research Council, pp. 3-4, October 2000.

·          Spradling, R., “Operation Fog,” Caltrans District 10 Press Release, October 2001, http://www.dot.ca.gov/dist10/pr01.htm.

·          URS BRW, “San Joaquin Valley Intelligent Transportation System (ITS) Strategic Deployment Plan: Working Paper #1,” January 2001 http://www.mcag.cog.ca.us/sjvits/pages/..%5CPDF%20Files%5CWorking%20Paper%20No1.pdf.

 

Keywords:  fog, dust, wind, visibility, motorist warning system, freeway management, traffic management, emergency management, law enforcement, advisory strategy, traveler information, vehicle guidance, control strategy, vehicle detection, environmental sensor station (ESS), dynamic message signs (DMS), safety


City of Palo Alto, California Flood Warning System

 

In February 1998 several days of heavy rainfall caused the San Francisquito creek to overflow its banks flooding the City of Palo Alto, California.  City residents and emergency managers had no advanced warning of the flood.  This event prompted the City to develop a flood warning system.  This web-based system has become an integral part of the City’s emergency management operations.  When flood conditions exist, emergency managers utilize automated surveillance techniques to supply information to the public.

 

System Components:  Water level sensors, a rain gauge, flood basin detectors, tide monitors, and a Closed Circuit Television camera are used to assess field conditions.  Ultrasonic sensors were installed at five bridge locations to detect high water or flood conditions.  The ultrasonic water level sensors use acoustics or sound waves to measure the distance from a transducer to the water surface.  Water level readings are transmitted to the water, gas, and storm drain Supervisory Control and Data Acquisition (SCADA) system via the City's telephone and radio communication networks.  A Digital Subscriber Line transmits still video images from one bridge site to the Emergency Operations Center (EOC).

 

System Operations:  Real-time and historical water level data and video images are posted on the City’s “Creek Level Monitor” web site for viewing at the EOC and by Palo Alto residents (see Figure 2).  Current water level, 12-hour water level trend, 24-hour rainfall, annual rainfall, current temperature, and tidal data are updated every minute on the SCADA system computer and posted on the server for website updates every three minutes.

 

Emergency managers access this information to plan response actions and to alert residents.  In the event of a flood threat, an automatic telephone warning system at the EOC dials all City residents and businesses in threatened areas to advise of potential flood conditions.  


Transportation Outcome: Prior to installation of the flood warning system, emergency management personnel traveled to bridge locations to visually monitor the storm drain system and physically check water levels.  Drain system status and water level readings were radioed to the EOC every 20 minutes.  By eliminating the need for field measurements, the monitoring system has enhanced the productivity of City staff and provided timely access to traveler information to improve public safety.  City residents may utilize information to make travel and safety decisions.

 

Implementation Issues:  The warning system project was initiated due to resident complaints following the 1998 flood.  The Public Works Operations department conducted a study of the City’s bridge locations and wireline communication systems, assessed sensor technologies, and deduced that water level sensors could be deployed and integrated with the existing SCADA system.  Non-intrusive sensors were selected over other technologies (e.g., pressure transmitters, bubblers, floats) due to concerns about floating or submerged debris that could damage equipment placed in the creeks.

 

The original intent of the system was to furnish emergency managers with precipitation and hydrologic data, which would serve as decision support for providing information to the public.  After determining hardware, software, and interface requirements system designers decided to add the web-based information dissemination feature to better serve city residents.

 

 

Contact(s):

·          John Ballard; City of Palo Alto, California; Public Works Operations; 650-496-5935.

References:

·          Kulisch, E., “System Monitors Flood-prone Creeks”, www.civic.com/civic/articles/2001/0122/web-flood-01-26-01.asp

·          City of Palo Alto, “Creek Level Monitor Website: How Do We Do It?” http://www.city.palo-alto.ca.us/earlywarning/how.html.

 

Keywords:  rain, flooding, flood warning system, emergency management, traveler information, advisory strategy, bridge, remote sensing, closed circuit television (CCTV), internet/web site, safety, productivity


City of Aurora, Colorado Maintenance Vehicle Management System

 

In 1998 the City of Aurora, Colorado deployed a system to monitor the operation of maintenance vehicles, including snowplows and street sweepers.  The system has facilitated real-time communication between maintenance managers and vehicle drivers, enhanced productivity, and improved public relations. 

 

System Components:  The maintenance vehicle management system is comprised of in-vehicle devices, central control systems, and a wireless communication system.  Twenty snowplows are equipped with integrated display, messaging and communication devices.  With these in-vehicle devices, text messages can be entered with a keypad, displayed to drivers, and transmitted between maintenance vehicles and central computers via a Cellular Digital Packet Data modem. These devices send position data to a central computer every 20 seconds.  Each in-vehicle device (shown in Figure 3) also includes an interface to vehicle systems and a Global Positioning System receiver, which is used to automatically track equipment status and vehicle location from control computers in two central facilities. 

 

System Operations:  Central control systems allow maintenance managers to transmit pre-programmed or customized messages to a single plow, a selected group of plows, or all snowplows.  Managers can monitor road treatment activities with a map display of snowplow locations to assess which routes have been serviced, determine when a plow is off of its designated route, and plan route diversions as needed.  The status of vehicle systems may also be monitored to ascertain plow position (i.e., plow up or down) and to determine when treatment materials are being dispensed (i.e., spreader on or off.  The management system is utilized for treatment strategy planning, real-time operations monitoring, and post-event analysis. 

 

Transportation Outcome:  By using the management system to track maintenance vehicles, managers have minimized treatment costs and improved productivity by 12 percent.  Additionally, managers can easily access the system and provide accurate information to citizens who call the City to inquire about plowing of a particular street. 

 

Implementation Issues:  The City contracted with a private vendor to furnish and install in-vehicle and central components of the management system.  System deployment was expedited by involving the City’s information systems staff in planning and design, and by hiring a local system integrator to resolve compatibility issues related to the various component and communications providers.

 

 

Contact(s):

·          Lynne Center; City of Aurora, Colorado Public Works Department, 303-326-8200,

lcenter@ci.aurora.co.us.

Reference(s):

·          Beneski, B., “Orbital’s Satellite-Based Vehicle Tracking System Selected by Aurora, Colorado,” Orbital Sciences Corporation Press Release, July 1998,

http://www.orbital.com/Template.php?Section=News&NavMenuID=32&template=PressReleaseDisplay.php&PressReleaseID=159.

·          Anderson, E. and Nyman, J., “Southeast Michigan Snow and Ice Management (SEMSIM): Final Evaluation at End of Winter Season Year 2000,” prepared for the Road Commission of Oakland County, September 2000.

 

Keywords: winter storm, snow, ice, maintenance vehicle management system, winter maintenance, treatment strategy, advisory strategy, maintenance vehicle, productivity


Florida DOT Motorist Warning System

 

The tropical climate in south Florida typically causes heavy rainfall in the afternoon.  A Florida Department of Transportation (DOT) study of the Florida Turnpike/Interstate 595 interchange found that 69 percent of crashes on a two-lane, exit ramp occurred when the pavement was wet and that only 44 percent of these wet-pavement crashes happened when it was raining.  The wet-pavement crash rate on this ramp was three times higher than the national average and nearly four times greater than the statewide average.  To demonstrate how advanced warning of the safe travel speed under wet pavement conditions can reduce crash risk, the DOT installed an automated motorist warning system on the ramp, which has a sharp curve and an upgrade.

 

System Components:  As shown in Figure 4, a sensor embedded in the road surface was used to monitor pavement condition (i.e., dry or wet).  On a pole adjacent to the ramp, a microwave vehicle detector was installed to record traffic volume and vehicle speed, and a precipitation sensor was mounted to verify rainfall events.  A pole-mounted enclosure housed a remote processing unit (RPU), which was hard-wired to flashing beacons atop static speed limit signs.  A dedicated telephone line was also connected to the RPU to facilitate data retrieval from an Internet server in the turnpike operations center located in Pompano Beach.

 

System Operations:  The RPU collected, processed, and stored traffic and pavement data from the sensors.  When pavement moisture was detected, the RPU activated the flashing beacons to alert motorists that speeds should not exceed the posted limit of 35 mph (56.3 kph). 

 

Transportation Outcome:  The warning system improved safety by reducing vehicle speeds and promoting more uniform traffic flow when the ramp was wet.  In light rain conditions, the 85th  percentile speed decreased by eight percent from 49 to 45 mph (78.8 to 72.4 kph).   During heavy rain, there was a 20 percent decline in 85th percentile speed from 49 to 39 mph (78.8 to 62.7 kph).   Speed variance was reduced from 6.7 to 5.7 mph (10.8 to 9.2 kph) in light rain and from 6.1 to 5.6 mph (9.8 to 9.0 kph) in heavy rain.  Thus, speed variance decreased by eight to 15 percent, minimizing crash risk.   Four crashes occurred during the first week of warning system activation.  Three happened when the pavement was wet and one occurred during rainfall.  After this initial week, there were no reported crashes the during nine-week evaluation period.

 

Implementation Issues: The DOT evaluated the geometry, road surface conditions, and crash history of the ramp, which had the highest travel speeds and the highest crash rate of all the ramps in the interchange.  It was concluded that wet pavement and excessive travel speeds were the primary factors contributing to run-off-the-road crashes that occurred at the beginning of the sharp ramp curve. These conditions warranted the development and demonstration of a motorist warning system.  The demonstration project was a joint effort of the Florida DOT, the University of South Florida, and a private vendor.

 

The DOT erected a 25-foot (7.6-meter) equipment mounting pole 8 feet (2.4 meters) from the edge of the travel lane, installed flashing beacons on two existing ramp signs, and arranged power and telephone service connections.  The pole was installed approximately 180 feet (55 meters) in advance of the speed limit signs.  The vendor furnished and installed field sensors, the RPU, and the Internet server.  The pavement sensor was installed at the lowest elevation point of the ramp.

 

After installation, the project partners verified the accuracy and reliability of system components. Vehicle detector data accuracy was validated by comparing speed measurements with those from a hand-held radar gun.  The private vendor calibrated the dry-wet threshold of the pavement sensor.  Beacon activation by the RPU and field data downloading to the turnpike operations center were successfully tested.  Through the server, the University retrieved pavement condition, speed, and volume data at one-minute intervals to evaluate system performance before and after activation. 

 

 

Contact(s):

·          Michael Pietrzyk, University of South Florida, Center for Urban Transportation Research (CUTR), 813-974-9815, pietrzyk@cutr.eng.usf.edu.

Reference(s):

·          Pietrzyk, M., “Are Simplistic Weather-Related Motorist Warning Systems ‘All Wet’?”, University of South Florida, presented at the Institute of Transportation Engineers (ITE) Annual Meeting, August 2000.

·          Collins, J. and Pietrzyk, M., ”Wet and Wild: Developing and Evaluating an Automated Wet Pavement Motorist System,” Kimley-Horn and Associates, presented at the Transportation Research Board (TRB) Annual Meeting, January 2001.

 

Keywords:  rain, pavement condition, pavement friction, motorist warning system, freeway management, traffic management, advisory strategy, pavement sensor, vehicle detection, speed, driver behavior, crashes, safety


City of Clearwater, Florida Weather-Related Signal Timing

 

The City of Clearwater, Florida operates a computerized traffic control system with 145 signals.  City traffic managers have developed a unique rain preemption feature that modifies signal timing during rain events to clear traffic from Clearwater Beach, which is a prime destination for tourists visiting Orlando and Tampa Bay.  Thunderstorms typically occur in the afternoon, causing significant sudden increases in traffic exiting the beach via the Memorial Causeway (i.e., State Route 60), which is shown in Figure 5. 

 

System Components:  An electric rain gauge is mounted on top of a traffic signal pole near the beach and connected to the signal controller.  Vehicle detectors on the causeway are used to measure the length of traffic queues on inbound lanes. A twisted pair cable communication system connects the rain gauge, vehicle detectors, and controllers to a signal system computer at the City’s Traffic Operations Center (TOC).

 

System Operations:  During peak beach hours, the central computer activates the rain gauge with a time-of-day command.  When the rain gauge senses a predetermined rainfall amount, the signal system computer issues a preemption command to 14 downtown traffic signals along the Route 60 corridor.  These signal controllers execute new timing plans with longer green times for inbound approaches. The computer selects the appropriate timing plan based upon traffic volumes. When the volume returns to normal levels, the central computer restores normal signal timing plans.

 

Transportation Outcome: By modifying traffic signal timing in response to rain events, the signal system computer prevents traffic congestion and enhances roadway mobility.

 

Implementation Issues:  The City of Clearwater was one of the first jurisdictions to deploy an Urban Traffic Control System (UTCS) with the assistance of federal funds.  The UTCS included preemption features for drawbridges and railroad crossings.  City personnel assessed localized conditions, observed driver behavior during thunderstorms, and determined that a similar feature could be implemented for rain events affecting Clearwater Beach.  The City’s signal technicians installed a commercially available rain gauge at an intersection that is adjacent to a parking garage used by beach visitors.  The signal system engineer modified existing UTCS preemption algorithms to alter signal timing based upon rainfall and traffic volume data. 

 


In 2003 the City’s central UTCS will be upgraded from a mainframe computer system to a PC-based system to support adaptive signal control as part of a county-wide, federally-funded Congestion Mitigation and Air Quality project.  Closed Circuit Television cameras and Dynamic Message Signs will also be installed on the City’s primary corridors to facilitate more efficient incident management and timely dissemination of traveler information.  Pinellas County will operate a TOC and utilize a Wide Area Network to facilitate data sharing between the county TOC and TOCs located in the cities of Clearwater and St. Petersburg.

 

 

Contact(s):

·          Paul Bertels; City of Clearwater, Traffic Operations Manager; 727-562-4794; pbertels@clearwater-fl.com.

·          Glen Weaver; City of Clearwater, Signal System Engineer; 727-562-4794.

Reference(s):

·          Andrus, D., et al, “Rain Detection for Traffic Control,” International Municipal Signal Association (IMSA) Journal, Volume 3, Issue 4, p. 16, July 1994.

·          City of Clearwater, Florida Web Site, http://www.clearwater-fl.com/.

·          USDOT, “ITS Improvements for the City of Clearwater,” 2002 Intelligent Transportation Systems (ITS) Projects Book, FHWA, ITS Joint Program Office, http://www.itsdocs.fhwa.dot.gov//jpodocs/repts_te/13631/ttm-348html.

 

Keywords:  rain, weather-related signal timing, arterial management, traffic management, traffic control, control strategy, vehicle detection, volume, mobility


Idaho DOT Anti-Icing/Deicing Operations

 

In 1996 maintenance managers with the Idaho Department of Transportation (DOT) began an anti-icing program on a 29-mile (47-kilometer) section of US Route 12.  This highway segment is located in a deep canyon and is highly prone to snowfall and pavement frost (i.e., black ice) due to sharp curves and shaded areas.  An anti-icing chemical is applied to road surfaces as an alternative to spreading high quantities of abrasives.  Abrasives are thrown to the roadside by passing vehicles and only improve roadway traction temporarily.

 

System Components:  Winter maintenance managers modified maintenance vehicles for use in anti-icing operations and installed chemical storage tanks.  As shown in Figure 6A, trucks with 1,000-gallon (3,785-liter) and 1,500-gallon (5,678-liter) tanks were equipped with spray controls to dispense liquid magnesium chloride. A chemical storage facility with two 6,900-gallon (26,117-liter) storage tanks and an electric pump for chemical circulation and truck loading was located in the Orofino maintenance yard (see Figure 6B).

 

System Operations: Maintenance managers utilize the Internet to access weather forecast data and identify threatening winter storms or frost events.  When an impending threat is predicted, maintenance vehicles are deployed to spray small amounts of the anti-icing chemical on road surfaces before snowfall begins or frost forms.  Chemical application rates vary from ten to 50 gallons (37.9 to 189.3 liters) per lane mile, depending on the nature and magnitude of the threat.  Maintenance crews regularly check four “indicator areas” along the highway to determine when frost on shoulder lanes begins to migrate into travel lanes.  The status of these areas indicates that the road should be retreated to ensure that chemical concentrations are high enough to prevent freezing.

 

Transportation Outcome:  To assess the effectiveness of anti-icing operations, winter road maintenance activities were analyzed for five years prior to the anti-icing program and for three years after implementation.  Annual averages of abrasive quantities, labor hours, and winter crashes are shown in Table 3.

 


Table 3 – Idaho DOT Winter Maintenance Performance Measures

(Annual Averages)

 

1992 to 1997

(Without Anti-Icing)

1997 to 2000

(With Anti-Icing)

Percent Reduction

Abrasive Quantities

1,929 cubic yards (1,475 cubic meters)

323 cubic yards

(247 cubic meters)

83%

Labor Hours

650

248

62%

Number of Crashes

16.2

2.7

83%

 

Mobility, productivity, and safety enhancements resulted from the anti-icing treatment strategy.  Mobility was improved, as a single application of magnesium chloride was typically effective at improving traction for three to seven days—depending on precipitation, pavement temperature, and humidity.  Faster clearing of snow and ice reduced operation costs and enhanced productivity.  Safety improvements were realized by reducing the frequency of wintertime crashes.  

 

Implementation Issues:  Maintenance managers selected the US Route 12 segment for their anti-icing pilot program due to the high crash rate and high maintenance costs.  Relatively mild winter temperatures, hazardous winter road conditions, and moderate traffic volumes also made this roadway a good candidate for anti-icing operations.

 

Other Idaho DOT maintenance districts had successful anti-icing programs.  By consulting other districts and assessing existing vehicles, managers developed treatment equipment requirements.  Trucks, previously used to spray weed-killing and other chemicals, were modified to dispense liquid magnesium chloride.  After configuring the treatment equipment, crews were trained in all aspects of anti-icing procedures.  They learned about various anti-icing chemicals and their properties, chemical application criteria and rates, equipment operation, and progress tracking.  As a result of the successful pilot program, anti-icing was expanded to other highways in District 2 and throughout the state.

 

 

Contact(s):

·          Bryon Breen, Assistant Maintenance Engineer, 208-334-8417, bbreen@itd.state.id.us.

Reference(s):

·          Breen, B. D., “Anti Icing Success Fuels Expansion of the Program in Idaho,” Idaho Transportation Department, March 2001.

 

Keywords:  snow, ice, winter storm, anti-icing/deicing operations, freeway management, winter maintenance, treatment strategy, internet/web site, forecasts, weather information, maintenance vehicle, chemicals, crashes, mobility, productivity, safety


Idaho DOT Motorist Warning System

 

The Idaho Department of Transportation (DOT) installed a motorist warning system on a 100-mile (161-kilometer) section of Interstate 84 in southeast Idaho and northwest Utah.  This road segment was highly prone to multi-vehicle crashes when blowing snow or dust reduced visibility.  From 1988 to 1993, poor visibility contributed to 18 major crashes involving 91 vehicles, 46 injuries, and nine fatalities.  While the proportion of trucks on this rural freeway was 33 percent, the percentage of trucks in these crashes was 44 percent.  Traffic managers display advisory messages to motorists to influence driver behavior under adverse conditions.

 

System Components:  Road, weather, and traffic condition data are collected by sensor systems and transmitted to a central computer.  Environmental Sensor Stations (ESS) detect pavement condition (i.e., dry, wet, or snow-covered), wind speed and direction, precipitation type and rate, air temperature, and relative humidity.  Sensors with forward-scatter detection technology measure visibility distance (see Figure 7).  Inductive loop detectors record vehicle length (i.e., passenger car or truck), vehicle speed, and travel lane.  Warnings of adverse conditions are posted on four roadside Dynamic Message Signs (DMS).

 

System Operations:  The central computer records sensor readings every five minutes.  When field sensor data indicates that visibility has fallen below a predetermined threshold or that driving conditions are deteriorating, the computer in the Port of Entry control center alerts traffic managers.  Based upon prevailing road conditions, traffic managers decide which messages to display and manually activate DMS. 

 

Transportation Outcome:  A system evaluation conducted from 1993 to 2000 assessed changes in driver behavior due to road condition data displayed on DMS.  The evaluation compared traffic speeds with advisories to speeds without warnings.  When traffic managers displayed condition data during high winds (i.e., over 20 mph or 32.2 kph), average speed variance was reduced and average vehicle speed decreased by 23 percent from 54.8 to 42.3 mph (88.1 to 68.0 kph).  When high winds occurred simultaneously with moderate to heavy precipitation, average speeds were 12 percent lower.  Under these conditions, mean speeds were 47.0 mph (75.6 kph) without advisory information and 41.2 mph (66.2 kph) with warning messages.  A 35-percent decline in average vehicle speed occurred when the pavement was snow-covered, wind speeds were high, and warnings were displayed.  Average speeds fell from 54.7 to 35.4 mph (87.9 to 56.9 kph).  Advisory information presented by traffic managers prompted changes in driver behavior, improving safety and mobility.

 

Implementation Issues:  After determining that a motorist warning system was warranted based upon local traffic patterns, weather conditions, and crash history; traffic managers assessed three different types of visibility sensors.  Tests were conducted to determine the accuracy of visibility measurements in a rural setting and to select the most reliable and cost effective sensor.  System operators used a Closed Circuit Television (CCTV) surveillance system to evaluate visibility sensors. 

A CCTV camera was pointed at five roadside target signs equipped with flashing lights.  The target signs were positioned along the interstate at known distances from the camera (i.e., 250, 500, 850, 1,200, and 1,500 feet or 76, 152, 259, 366, and 457 meters).  Actual roadway conditions were confirmed by viewing video images of target signs.  After field sensors were selected, their locations were determined and power supply and communications systems were designed.  To ensure that weather and traffic data was collected at the same location, ESS were installed within a few hundred feet of the vehicle detection sites. 

 

System integration issues arose due to the various field data types and formats, hardware and software incompatibility, as well as communication system and power system failures.  For example, the software used to control two of the DMS was not compatible with the central computer.  Because leased telephone lines in this rural area were not reliable for transmission of sensor data at the desired frequency, a dedicated telephone cable was installed from the system location to the control center.  Power supply reliability was also a concern.  Numerous power outages, shortages, and surges damaged field and central components.  Uninterruptible power supplies were installed to address these problems. 

 

In the future the Idaho DOT plans to upgrade obsolete field hardware (e.g., DMS with rotating drum technology) and the central control system (e.g., replacing DOS-based software).  Other enhancements may include the deployment of addition DMS and a Variable Speed Limit system.

 

 

Contact(s):

·          Bob Koeberlein, Idaho Transportation Department, ITS Program Manager, 208-334-8487, rkoeberl@itd.state.id.us. 

·          Bruce Christensen, Idaho Transportation Department, District 4 Traffic Engineer, 208-886-7860, bchriste@itd.state.id.us.

·          Clyde Dwight, Idaho Transportation Department, Information Technology Systems Coordinator, 208-886-7820, cdwight@itd.state.id.us.

Reference(s):

·          Booz-Allen & Hamilton, “Intelligent Transportation Systems Compendium of Field Operational Test Executive Summaries,” FHWA Turner-Fairbank Highway Research Center, http://www.its.dot.gov/new/optest.pdf.

·          Kyte, M., et al, “Idaho Storm Warning System Operational Test - Final Report,” prepared for the Idaho Transportation Department, ITD No. IVH9316 (601), December 2000, http://ntl.bts.gov/lib/jpodocs/redirect/repts_te/@cc01!.pdf.

·          Robinson, M., et al, “Safety Applications of ITS in Rural Areas,” prepared by Science Applications International Corporation (SAIC) for FHWA, September 2002, http://www.itsdocs.fhwa.dot.gov//JPODOCS/REPTS_TE//4_2_1.htm.

 

Keywords:  visibility, dust, wind, precipitation, snow, motorist warning system, freeway management, traffic management, advisory strategy, traveler information, vehicle detection, environmental sensor station (ESS), dynamic message signs (DMS), closed circuit television (CCTV), driver behavior, speed, safety, mobility

 


Michigan Maintenance Vehicle Management System

 

Four road maintenance agencies and a regional transit authority worked together to implement a management system for maintenance vehicles in southeastern Michigan.  Partners include the City of Detroit Department of Public Works, the Road Commission for Oakland County, the Road Commission of Macomb County, the Wayne County Department of Public Services, and the Suburban Mobility Authority for Regional Transportation.  The four agencies, who maintain over 15,000 road miles in the region, formed the Southeast Michigan Snow and Ice Management (SEMSIM) partnership in 1998.

 

System Components: The maintenance vehicle management system consists of snowplow systems, a communication system, and central systems.  Snowplow systems include sensors, automated controls, and in-vehicle devices.  Environmental sensors are mounted on snowplows to record air temperature and pavement temperature.  Vehicle status sensors monitor the position of each snowplow (i.e., location, direction and speed), plow position (i.e., up/down), and material application (i.e., salt on/off, application rate).  Each maintenance vehicle, shown in Figure 8, has automated application controls.  Computerized salt spreaders automatically adjust the application rate based upon the speed of the snowplow. 

 

In-vehicle devices integrate display, text messaging, and data communication capabilities.  These devices include interfaces to snowplow systems and Global Positioning System receivers, which are used for automated vehicle location. The communication backbone is owned and operated by the regional transit authority. The authority’s 900 MHz radio communication system transmits environmental and status data from in-vehicle devices to the transit management center.  A Local Area Network, an Integrated Services Digital Network and multiple dial-up telephone lines are used to transmit data from the management center to central computers accessed by both maintenance managers and transit dispatchers. 

 

System Operations: Central computers display a map-based interface that maintenance managers view to identify weather threats, track snowplow locations, monitor treatment activities, and plan route diversions if necessary.  Each maintenance vehicle appears on the map with a color-coded trace indicating where plows have been and what treatment has been applied (e.g., spreading salt, plow down).  Text messages from managers, such as route assignments, may be displayed to drivers on the in-vehicle devices.  With these devices, drivers can send messages to managers, as well as view temperature measurements and salt gauge.

 

The maintenance vehicle management system can be used to plan treatment strategies, monitor real-time operations, and conduct post-event analysis.  Post-event analysis provides maintenance managers with statistics (e.g., driver hours, truck miles, material applied) that can help reduce the costs of future winter maintenance operations.  Environmental data from the plows also serves as decision support for transit dispatchers, who utilize this information to make scheduling and routing decisions during winter storms.


Transportation Outcome: SEMSIM partners have improved agency productivity by implementing the maintenance vehicle management system.  With the system, managers can identify the most efficient treatment routes, reduce equipment costs, and share resources.  Automated salt application controls minimize material costs.  The system also improves roadway safety and mobility by allowing the partners to assess changing weather conditions and quickly respond to effectively control snow and ice.

 

Although each agency had different types of snowplows, with dissimilar equipment, and diverse operational procedures, this project has facilitated interagency communication that benefits both the public and partners.  The SEMSIM partners can collectively procure equipment and services at lower costs than individual agencies.  Additionally, the partners have agreed to allow snowplows to cross jurisdictional lines to assist one another with road treatment activities when necessary.

 

Implementation Issues: The SEMSIM project is funded with federal grants and matching contributions (i.e., 20 percent) by each partner.  Phase one of the project was initiated in October 1998 and was scheduled for completion by December 1999.  The partners developed specifications, issued a request for proposals, and contracted with a private vendor to furnish and install system components.  This vendor was familiar with the region as they supplied the automated vehicle location system used to by the transit authority to monitor buses in the region.

 

The transit authority allowed the partners to use excess capacity in their radio communication system.  Implementation problems with communication lines and devices caused delays in system acceptance and evaluation.  A temporary dial-up telephone line was used for testing until technical difficulties were resolved.  By the end of February 2000, the temporary system was in place and ten snowplows from each maintenance agency were equipped with system components. 

 

A private firm was selected to evaluate each phase of the project.  This firm conducted interviews and collected data to assess manager and driver needs, to document technical and institutional issues affecting operational decisions, and to determine whether or not project goals were met.  An evaluation report of the first phase was released in June 2000.  The partners then met to discuss plans for phases two and three.  In June 2001 they contracted with the vendor to equip an additional 290 maintenance vehicles during 2002.  System hardware and software will also be improved and the communication system will be web-based.  The University of Michigan has enhanced central software by designing an application that will automate snowplow routing.  As conditions change, the central software will calculate the most efficient routes and automatically notify drivers via in-vehicle devices. 

 

 

Contact(s):

·          Dennis Kolar, Road Commission for Oakland County, Director of Central Operations, 248-858-4718, dkolar@rcoc.org.

·          Gary Piotrowicz, Road Commission for Oakland County, FAST-TRAC Project Manager, 248-858-7250, gpiotrowicz@rcoc.org.

Reference(s): 

·          Anderson, E. and Nyman, J., “Southeast Michigan Snow and Ice Management (SEMSIM): Final Evaluation at End of Winter Season Year 2000,” prepared for the Road Commission of Oakland County, September 2000.

·          FHWA, “Oakland County Michigan – Southeast Michigan Snow and Ice Management (SEMSIM),” ITS Projects Book, January 2002, http://www.itsdocs.fhwa.dot.gov//JPODOCS/REPTS_TE/13631/ttm-225.html.

·          “SEMSIM Web Site,” RCOC, http://www.rcocweb.org/home/semsim.asp. 

 

Keyword(s): winter storm, snow, ice, maintenance vehicle management system, winter maintenance, treatment strategy, advisory strategy, decision support, maintenance vehicle, air temperature, pavement temperature, pavement sensor, institutional issues, productivity

 


Minnesota DOT Access Control

 

Since 1996 several Minnesota Department of Transportation (DOT) maintenance districts have worked with the Minnesota State Patrol and county sheriffs to direct traffic off of freeways and to restrict freeway access at ramps when winter storms create unsafe travel conditions.  After maintenance vehicles have cleared snow and ice, freeways are reopened to traffic.

 

System Components: Two types of gates are used to restrict freeway access.  One maintenance district has installed gate arms that are positioned on the side of the road and swing into place when needed.  These arms have amber lights.  Other districts deployed upright gate arms, with red lights, that are lowered into position.  Static fold-down warning signs are located in advance of gates to notify motorists of freeway closures.

 

System Operations:  Traffic and maintenance managers consider several variables to identify threats to highway operations.  Weather parameters include winter storm duration and severity (i.e., snowfall rate), and visibility.  Pavement condition, time of day, day of the week, seasonal travel patterns, and the capacity of towns to accommodate diverted motorists are transportation system factors. Threat information is used to determine closure locations and times. 

 

When a threat is identified traffic and emergency management personnel execute a systematic, coordinated plan to divert traffic off of freeways with mainline gates and prohibit freeway access using ramp gates.  DOT personnel travel to gate locations to open warning signs and activate gate arm lights.  As shown in Figure 9, gate arms are then positioned in travel lanes to alert drivers that the freeway is closed. During closure and reopening activities, uniformed law enforcement personnel staff gate locations with patrol vehicles to prevent motorists from interfering with clearing operations.

 

Transportation Outcome(s):  During a severe snowstorm on November 11, 1998 a 50-mile (80.4-kilometer) section of Interstate 90 was closed, while 59 miles (94.9 kilometers) of US Highway 75 remained open.  Plows made four passes on Interstate 90 and ten passes on Highway 75 to clear the pavement of snow and ice.  The freeways were reopened when the pavement was 95 percent clear.  Because Highway 75 was open to traffic, significant snow compaction occurred on this roadway.  Delay on Interstate 90 was minimized, as it was cleared four hours before Highway 75.  As shown in Table 4, over 24 dollars per lane mile were expended on Highway 75, while it cost less than 20 dollars per lane mile to clear Interstate 90.

 


Table 4 – Minnesota DOT Access Control and Maintenance Costs

 

US Highway 75 (Open to Traffic)

Interstate 90

(Access Restricted)

Percent Difference

Number of Plow Passes

10

4

60%

Total Miles Plowed

590

200

66%

Labor Hours per lane mile

0.41

0.38

7%

Labor Costs per lane mile

$9.98

$9.08

9%

Material Costs per lane mile

$4.59

$4.50

2%

Equipment Costs per lane mile

$9.54

$6.14

36%

Total Costs per lane mile

$24.11

$19.72

18%

 

The DOT conducted a study of Interstate 90 closures in 1999.  Analysis revealed that roughly 80 crashes per year were related to poor road conditions on the freeway.  Study results also confirmed that access control operations enhanced mobility by reducing closure time and associated vehicle delay.  Examination of this control strategy during a single storm event and over a six-month period indicated that productivity, mobility, and safety were improved.

 

Implementation Issues:  The DOT contracted with a consulting firm to analyze the costs and benefits of deploying gate arms for access control.  The consultant used historical operations and crash data to calculate benefits associated with reductions in travel time delay and crash frequency.  After deciding to implement gate arms based upon the benefit/cost analysis, the DOT consulted agencies in North and South Dakota.  An assessment of gates used in the Dakotas found that snowdrifts could block swinging gates necessitating shoveling before they could be positioned in the road.  The upright gates also had disadvantages.  In some cases, the pulley mechanism failed causing the gate arm to slam down unexpectedly.  Individual maintenance districts selected the type of arm most appropriate for their operations.  Ice and high winds occasionally interfered with the opening of warning signs. 

 

The DOT plans to test remote operation of gates and Closed Circuit Television surveillance at one interchange.  Remote monitoring and control via a secure web site will be tested during the 2002/2003 winter season.

 

 

Contact(s):

·          Farideh Amiri, Minnesota DOT, ITS Project Manager, 651-296-8602, farideh.amiri@dot.state.mn.us.

Reference(s): 

·          Nookala, M., et al, “Rural Freeway Management During Snow Events - ITS Application,” presented at the 7th World Congress on Intelligent Transport Systems, November 2000.

·          BRW, “Documentation and Assessment of Mn/DOT Gate Operations,” prepared for Minnesota DOT Office of Advanced Transportation Systems, October 1999, http://www.dot.state.mn.us/guidestar/pdf/gatereport.pdf.

 

Keywords:  winter storm, snow, ice, access control, freeway management, treatment strategy, winter maintenance, control strategy, traffic control, law enforcement, advisory strategy, motorist warning system, institutional issues, gates, maintenance vehicle, safety, mobility, productivity


Minnesota DOT Anti-Icing/Deicing System

 

Several Minnesota Department of Transportation (DOT) districts have installed fixed maintenance systems on curved and super-elevated bridges that are prone to slippery pavement conditions.  On Interstate 35 an automated anti-icing system was installed on a 1,950-foot (594-meter), eight-lane bridge near downtown Minneapolis.  The bridge deck was susceptible to freezing due to moisture rising from the Mississippi River below.  On average 25 winter crashes occurred on the bridge each year causing significant traffic congestion.

 

System Components: The automated anti-icing system is comprised of a small enclosure, storage tanks, a pump and delivery system, environmental sensors, four motorist warning signs with flashing beacons, and a control computer located in the district office.  The enclosure houses the pump, a 3,100-gallon (11,734-liter) chemical storage tank, a 100-gallon (379-liter) water storage tank, and control mechanisms. Liquid potassium acetate is pumped through the delivery system to 38 valve bodies installed in the median barrier.  The valves direct the anti-icing chemical to 76 spray nozzles.  Sixty-eight nozzles are embedded in the bridge decks of both northbound and southbound lanes.  These nozzles are installed in the center of travel lanes at a spacing of 55 feet (16.8 meters).  Eight barrier-mounted nozzles are located at the north end of the bridge to spray approach and exit panels.

Two types of environmental sensors that are installed on the bridge.  An Environmental Sensor Stations (ESS) is equipped with air and subsurface temperature sensors, pavement temperature and pavement condition sensors, as well as precipitation type and intensity sensors.  The second sensor site includes only pavement temperature and condition sensors.  These environmental sensors determine whether the pavement is wet or dry and whether the pavement temperature is low enough for surface moisture to freeze.  System components are depicted in Figure 10.

 


System Operations:  The control computer continuously polls the environmental sensors to gather data used to predict or detect the presence of black ice or snow.  When predetermined threshold values are met, the computer automatically activates flashing beacons on bridge approach ramps to alert motorists, checks the chemical delivery system for leaks, and initiates one of 13 spray programs.  Each program activates different valves, in various spray sequences, at different spray frequencies based upon prevailing environmental conditions.  An average spray cycle dispenses 34 gallons (128.7 liters) of potassium acetate (i.e., 12 gallons or 45.4 liters per lane mile) over ten minutes.  Conventional treatment strategies (e.g., plowing, sanding, and salting) supplement automated anti-icing when slush or snow accumulates on the bridge deck.

 

At the end of each winter season the anti-icing system is inspected and reconfigured to spray water instead of potassium acetate.  Over the summer, the system is manually activated on a monthly basis to ensure proper operation of the pump and delivery.  The system is re-inspected in the fall before being configured for anti-icing during winter operations.

 

Transportation Outcome: In the first year of operation the automated anti-icing treatment strategy significantly improved roadway safety through a 68-percent decline in winter crashes.  Mobility enhancements resulted from reduced traffic congestion associated with such crashes.  Installing the bridge anti-icing system also improved productivity by lowering material costs and enhancing winter maintenance operations throughout the district. 

 

Implementation Issues:  The Minnesota DOT conducted a feasibility analysis to assess potential benefits and to estimate the costs of deploying an automated anti-icing system on the Interstate 35W bridge.  The DOT then contracted with a private vendor to design and install the proprietary hardware and software components, as well as to provide system documentation, training, and support.  System installation was completed in December 1999 and calibration and testing was conducted during the 1999/2000 winter season. 

 

Minor hardware and software issues precluded automatic operation until the winter of 2000.  Barrier-mounted nozzles were frequently blocked by plowed snow and other nozzles were clogged by sand.   Negligible leaking was discovered around some valves.  A filter failure in the pump enclosure caused a chemical spill, which reacted with galvanized metals and seeped through the building foundation.  The ESS malfunctioned and had to be replaced.  Potassium acetate was purchased and delivered in 4,400-gallon quantities necessitating the purchase of an additional chemical storage tank.  Software issues included difficulty accessing data and modifying operational parameters.  As part of system support, the vendor diagnosed and remedied these problems.

 

In order to evaluate the anti-icing system, the DOT analyzed weather conditions to identify prior winters that were comparable to the 2000/2001 season.  The system evaluation included an analysis of environmental detection capabilities, delivery system pressures, spray characteristics, software alarms, and effects on traffic flow. The evaluation found that the system was activated 501 times, dispensing over 17,000 gallons (64,000 liters) of potassium acetate during winter 2000/2001. 

 

 


Contact(s):

·          Cory Johnson, Minnesota DOT, Office of Metro Maintenance Operations, 651-582-1431, cory.johnson@dot.state.mn.us.

Reference(s): 

·          Johnson, C., “I-35W & Mississippi River Bridge Anti-Icing Project: Operational Evaluation Report,” Minnesota DOT Office of Metro Maintenance Operations, Report No. 2001-22, July 2001, http://www.dot.state.mn.us/metro/maintenance/Anti-icing%20evaluation.pdf.

·          Selingo, J., “Black Ice, Wise Bridge: Repelling the Foe Before It Forms” The New York Times, Late Edition, Section G, Page 7, Column 1, December 13, 2001, www.nytimes.com/2001/12/13/technology/circuits/13HOWW.html.

·          “High-Tech Bridge Set to Improve Lifestyle, Support Sustainability,” Northern Intercity News, Volume 11, No. 2, December 2000, http://www.city.sapporo.jp/somu/nic/nic11-2/11p.htm.

·          Keranen, P. F., “Automated Bridge Deicers in Minnesota,” presented at the 5th International Symposium on Snow and Ice Control Technology, September 2000.

 

Keywords: ice, snow, winter storm, pavement condition, pavement temperature, anti-icing/deicing system, freeway management, traveler information, advisory strategy, winter maintenance, treatment strategy, chemicals, bridge, environmental sensor station (ESS), crashes, safety, mobility, productivity


Montana DOT Anti-Icing/Deicing Operations

 

On December 14, 2000 a winter storm threatened State Route 200 in Montana.  The Missoula Maintenance Division of the Montana Department of Transportation (DOT) maintains the Plains section of this route.  The Thompson Falls section is maintained by the Kalispell Maintenance Division.  Although temperatures were comparable, only eight inches (20 centimeters) of snow fell on the Plains section.  In the Thompson Falls area, the storm was more severe with 15 inches (38 centimeters) of snow followed by eight hours of freezing rain.  The divisions applied different operational techniques to treat snow and ice.

 

System Components:  Winter maintenance managers in both areas employ mobile treatment strategies in response to winter storm threats.  Maintenance vehicles equipped with liquid chemical storage and spray systems are used to treat roads.  Liquid magnesium chloride is applied to anti-ice and deice pavement.  Abrasives are also spread on roadways to improve traction.

 

System Operations: In the Plains section, maintenance vehicles applied 3,000 gallons (11,355 liters) of magnesium chloride during and after the storm, resulting in bare pavement conditions.  On the road section in Thompson Falls, 800 gallons (3,028 liters) of chemical were used to pre-wet abrasives before application to compacted snow.  Another 750 gallons (2,839 liters) of magnesium chloride were used for anti-icing and deicing in an air quality non-attainment area. 

 

Once the storm passed, numerous complaints were received from drivers due to striking differences in road surface conditions in the area separating the Plains and Thompson Falls road sections.  The pavement was bare in Plains section, while the Thompson Falls section was compacted with snow and ice (see Figure 11). 

 

Transportation Outcome:  To understand what caused the differences, the DOT’s Maintenance Review Section interviewed maintenance managers and analyzed material usage and operating costs from 1997 to 2000.  Four-year averages are listed in Table 5.  The treatment strategy utilized in the Plains section costs 37 percent less than the approach used in Thompson Falls, representing increased productivity.   A higher roadway level of service was achieved in the Plains section resulting in safety and mobility enhancements.  Environmental outcomes were improved by minimizing abrasive usage; which contributes to poor air quality, drainage facility damage, and negative impacts on wildlife habitats. 


Table 5 – Montana DOT Winter Maintenance Performance Measures

(Annual Averages)

 

Thompson Falls Section

Plains

Section

Percent Difference

Sand Quantities

73 cubic yards

(56 cubic meters)

43 cubic yards

(33 cubic meters)

41%

Sand Costs per lane mile

$724

$407

44%

MgCl Costs per lane mile

$136

$233

N/A

Material Costs per lane mile

$860

$640

26%

Equipment Costs per lane mile

$327

$182

44%

Labor Costs per lane mile

$564

$273

52%

Total Costs per lane mile

$1,750

$1,095

37%

 

Implementation Issues:  Interviews conducted by the DOT’s Maintenance Review Section revealed that institutional factors impact winter maintenance operations. The review of operational procedures and roadway impacts revealed that managers had varying interpretations of level of service guidelines and different budgetary concerns.  A comparison of treatment strategies demonstrated the benefits of preventive versus reactive treatment strategies.  By applying anti-icing chemicals before or at the beginning of a storm event, compacted snow was avoided or easily removed.  Reactive treatment required multiple material applications and only temporarily improved traction on snow-covered roads.

 

Managers in the Plains section typically ordered anti-icing chemicals for an average winter and allowed field supervisors to order additional chemicals as needed.  Due to adequate material supplies, anti-icing chemicals were readily dispensed and a relatively high chemical content (i.e., 7.5 percent salt-to-sand) was used in abrasive applications.  Kalispell maintenance managers estimated chemical quantities at the beginning of winter and did not purchase additional materials through the season.  This more conservative approach was employed to ensure that materials were available throughout the winter.  Consequently, the chemical content of abrasives applied in Thompson Falls was only four percent salt-to-sand.  Liquid magnesium chloride was used primarily for pre-wetting of abrasives and direct application to pavement was limited to non-attainment areas.  Since the Maintenance Review Section has shown that proactive treatment is cost effective, Kalispell managers have increased the chemical content of salt-to-sand from four to seven percent.  Maintenance managers plan to conduct further evaluations of anti-icing strategies and to examine and modify operational guidelines, as appropriate.

 

 

Contact(s):

·          Dan Williams, Montana DOT Maintenance Review Section, 406-444-7604, dawilliams@state.mt.us.

Reference(s): 

·          Williams, D. and Linebarger, C., “Winter Maintenance in Thompson Falls,” Montana Department of Transportation Maintenance Division, December 2000.

 

Keywords:  snow, ice, winter storm, anti-icing/deicing operations, winter maintenance, freeway management, treatment strategy, institutional issues, maintenance vehicle, chemicals, safety, mobility, productivity


Montana DOT High Wind Warning System

 

When high winds blow across Interstate 90 in the Bozeman/Livingston area the Montana Department of Transportation warns motorists and manages vehicle access.  Severe wind tunnel conditions pose a safety risk to high-profile vehicles traveling on a 27-mile (43-kilometer) section of the freeway, shown in Figure 12.  

 

System Components:  Traffic managers utilize an Environmental Sensor Station (ESS) to monitor wind direction and wind speed.  The ESS is part of a statewide Road Weather Information System (RWIS), which collects and transmits environmental data to district offices via a Wide Area Network.  Four Dynamic Message Signs (DMS) are installed on the roadway to display messages to eastbound and westbound motorists.

 

System Operations: Traffic managers employ an advisory strategy to alert motorists of high wind conditions and a control strategy to restrict high-profile vehicle access during severe crosswinds. Traffic and maintenance managers are alerted by the RWIS when wind speeds in the area exceed 20 mph (32 kph).  A warning message—“CAUTION: WATCH FOR SEVERE CROSSWINDS”—is displayed on DMS when wind speeds are between 20 and 39 mph.  When severe crosswinds (i.e., over 39 mph (63 kph)) are detected, a restriction message is posted on DMS to direct specified vehicles to exit the freeway and take an alternate route through Livingston.  A typical restriction message reads “SEVERE CROSSWINDS: HIGH PROFILE UNITS EXIT”.  DMS may also be used to warn drivers of poor pavement conditions (i.e., snow or ice) during winter months.

 

Transportation Outcome:  Before DMS were installed, maintenance personnel had to erect barricades on the freeway to prevent high-profile vehicles from entering the affected highway section and being blown over or blown off of the road.  Advising drivers and restricting access under high wind conditions has improved roadway safety, as well as the productivity and safety of maintenance staff.

 

Implementation Issues:  Two DMS were strategically located on each end of the affected road segment to warn motorists traveling in both directions.  The third and fourth DMS were installed in the middle of the 27-mile segment.  Wind tunnel conditions are most severe between mileposts 330 and 338.  One DMS was placed at milepost 311 for eastbound traffic approaching the area. Two DMS were mounted back-to-back at milepost 330 for both directions.  The last DMS was positioned at milepost 338 to inform westbound drivers as they enter the threatened section.

 

 

Contact(s):

·          Ross Gammon, Bozeman Area Maintenance Chief, 406-586-9562, rgammon@state.mt.us.

Reference(s):

·          “Message Signs Provide Real-time Road Information in Montana,” ITS America Weather Applications web site, January 2002,

http://www.itsa.org/ITSNEWS.NSF/4e0650bef6193b3e852562350056a3a7/8d042124f5e4d92b85256b4a0070835c?OpenDocument.

·          “Road Weather Informational System,” Montana DOT Traveler Information web site,

 http://www.mdt.state.mt.us/travinfo/weather/rwis_frame.html.

 

Keywords: wind, snow, ice, high wind warning system, freeway management, traffic management, traveler information, advisory strategy, motorist warning system, control strategy, access control, environmental sensor station (ESS), road weather information system (RWIS), dynamic message signs (DMS), high-profile vehicles, safety, productivity


Nebraska Road Weather Information for Travelers

 

The Nebraska Department of Transportation (DOT) and the Nebraska State Patrol have partnered with a privateText Box:  
Figure 13 – Nebraska 
511 Road Sign
company to provide the public with road weather information.  In October 2001, Nebraska became the first state to provide statewide traveler information via 511.  Information provided via 511—the national traveler information telephone number designated by the Federal Communication Commission—is also posted on agency web sites.

 

 

Text Box:  

Textual Road Weather Reports
System Components: The private company—Meridian Environmental Technology—operates a system that ingests data from various sources including the DOT’s roadside Environmental Sensor Stations, the Agricultural Weather Network managed by the University of Nebraska, National Weather Service (NWS) Doppler Radar, NWS satellite data, Federal Aviation Administration surface weather observations, as well as field reports from DOT and State Patrol personnel.  The data are transmitted, via various communications systems, to computers at Meridian’s North Dakota office that perform advanced weather forecast processing.  These computers generate data for 6.2-mile (ten-kilometer) grids across the state and disseminate tailored road weather information via an interactive telephone system and the Internet.  The DOT has installed road signs, depicted in Figure 13, along state highways to advise motorists of the 511 service.

 

System Operations:  When travelers dial 511, from cellular or landline telephones, the system asks for the caller’s route of interest (i.e., highway and direction). The information system integrates weather analysis and forecast data with road attribute data to provide the caller with a customized, route-specific pavement condition report and six-hour weather forecast extending roughly 60 miles (or one hour) in their direction of travel. 

 

Traveler information provided via 511 is also available on the Internet (www.safetravelusa.com, soon to be www.511bystate.com).  Users can view a state map and detailed regional maps with color-coded highways.  When a colored freeway segment is selected, a textual road condition and weather report is displayed, as shown in Figure 14. This information can also be accessed via links on the State Patrol and DOT web sites (www.nebraskatransportation.org).  Travelers can also access road weather data for neighboring states including Minnesota, Montana, North Dakota, and South Dakota.

 

Transportation Outcome: This advisory strategy allows the public to make more informed travel decisions (e.g., departure time, route selection) than can be made with less specific road weather information.  Decision support provided by the road weather information system can enhance roadway safety.  On July 6-7, 2002 usage of the system peaked due to a flash flood that washed out bridge approaches on Interstate 80.

 

The system improved productivity by replacing labor-intensive condition reporting procedures.  In the past, State Patrol officers in the field visually observed and reported road weather conditions, which were compiled for voice recording at least five times per day.  Condition reports were then made available to the public via a toll-free telephone number.  During severe weather events, the 511 service relieves officers of reporting duties and allows them to focus on public safety and law enforcement activities.

 

Implementation Issues: Nebraska's Department of Administrative Services is monitoring implementation of the 511 service.  The state has negotiated cooperative agreements with local telephone companies and cellular service providers in order to provide the service free of charge to the public. The state’s Public Service Commission advertised the 511 service with announcements placed in local telephone directories. 

 

 

Contact(s):

·          Jaimie Huber, Nebraska Department of Roads, 511 Operations Manager, 402-471-1810, jhuber@dor.state.ne.us.

·          Bryan Tuma, Nebraska State Patrol, Major, Administrative Services, 402-479-4950, btuma@nsp.state.ne.us.

·          Leon Osborne, Meridian Environmental Technology, Chief Executive Officer, 701-787-6044, leono@meridian-enviro.com.

Reference(s): 

·          FHWA, “511 America’s Traveler Information Telephone Number,” December 2002, www.fhwa.dot.gov/trafficinfo/511.htm.

·          FHWA, “New 511 Traveler Information System Operational October 1,” http://www.fhwa.dot.gov/nediv/511pr.htm.

·          Nebraska Department of Roads, “New Info on 511 More Precise,” News Release, January 15, 2003, http://www.dor.state.ne.us/news/news%20releases/jan-2003/new511-1-15.pdf.

·          Meridian Environmental Technology, “Safe Travel USA Web Site”, State of Nebraska, 2002, http://www.safetravelusa.com/process.pl?state=ne.

·          Osborne Jr., L. and Owens, M., “Evaluation of the Operation and Demonstration Test of Short-Range Weather Forecasting Decision Support within an Advanced Rural Traveler Information System,” University of North Dakota, 2000, http://ntl.bts.gov/lib/jpodocs/redirect_te/@9301!.pdf.

 

Keyword(s): adverse weather, road weather information system (RWIS), freeway management, law enforcement, advisory strategy, traveler information, pavement condition, weather information, decision support, environmental sensor station (ESS), internet/web site, institutional issues, safety


Nevada DOT High Wind Warning System

 

The Nevada Department of Transportation (DOT) operates a high wind warning system on a seven-mile (11-kilometer) section of US Route 395.  This highway segment, which is located in the Washoe Valley between Carson City and Reno, often experiences very high crosswinds (up to 70 mph or 113 kph) that pose risks to high-profile vehicles.  The system provides drivers with advanced warning of high wind conditions and prohibits travel of designated vehicles during severe crosswinds.

 

System Components:  An Environmental Sensor Station (ESS) is installed on the highway to collect and transmit environmental data to a central control computer in the Traffic Operations Center.  The ESS measures wind speed and direction, precipitation type and rate, air temperature and humidity, as well as pavement temperature and condition (i.e., wet, snow or ice). During high wind conditions advisory or regulatory messages are displayed on Dynamic Message Signs (DMS) located at each end of the valley, as shown in Figure 15. Traffic managers may also broadcast pre-recorded messages via three Highway Advisory Radio transmitters in the area. 

 

System Operations:  The central control computer polls the ESS every ten minutes to compare average wind speeds and maximum wind gust speeds to preestablished threshold values.  If the average speed exceeds 15 mph (or 24 kph) or the maximum wind gust is over 20 mph (or 32 kph) the computer prompts display of messages as shown in Table 6 below.  This is accomplished through an interface with a DMS computer, which runs proprietary software to control the roadside signs.  Roadway access to high-profile vehicles is restricted when winds are extreme.   Static signs identify critical vehicle profiles and direct specified vehicles to exit the highway and travel on an alternate route when “PROHIBITED” messages are displayed. 

 

Table 6 – Nevada DOT High Wind Warning System Messages

Average Wind Speeds

Maximum Wind Gust Speeds

Displayed Messages

15 mph to 30 mph

20 mph to 40 mph

High-profile vehicles “NOT ADVISED”

Greater than 30 mph (48 kph)

Greater than 40 mph (or 64 kph)

High-profile vehicles “PROHIBITED”

 

Transportation Outcome:  Dissemination of traveler information and access control have enhanced safety by significantly reducing high-profile vehicle crashes caused by instability in high winds. 

 


Implementation Issues:  In the early 1980s the first high wind warning system was constructed on US Route 395.  It was comprised of an anemometer (or wind speed sensor), message signs, a relay, and a timer.  Because this legacy system needed extensive repairs, it was replaced in the 1990s.  A solar-powered ESS was installed in place of the anemometer and relay components, and each message sign was substituted with a DMS.

 

While developing equipment requirements and operational procedures for the system upgrade, the DOT worked with the University of Nevada to determine warning threshold values.  The University analyzed the stability of various vehicle profiles, configurations, and loadings to calculate critical wind speeds (i.e., sufficient speeds to blow vehicles over).  

 

In 1996 the DOT’s statewide telephone communication system and Very High Frequency radio network were replaced with a digital, wireless radio communication system.  A Wide Area Network (WAN) facilitated the integration of voice, video, and data using open system protocols.  The WAN also allowed dissemination of traveler information via the Internet (www.nvroads.com) and through telephone systems (1-877-NVROADS) with interactive voice response technologies.   The computing and communication networks were designed with the flexibility to easily incorporate new technologies or components.

 

 

Contact(s):

·          Richard Nelson; District Engineer, Nevada DOT District 2, 775-834-8344, rnelson@dot.state.nv.us.

·          Denise Inda, Traffic Engineer (ITS), Nevada DOT District 2, 775-834-8320, dinda@dot.state.nv.us.

Reference(s):

·          Blackburn R.R., et al, “Development of Anti-Icing Technology,” Report SHRP-H-385, National Research Council, Washington, DC, 1994.

·          Magruder, S., “Road Weather Information System (RWIS),” Nevada DOT News Release, December 6, 1999, http://www.nevadadot.com/about/news/news_00045.html.

·          Nelson, R., “Weather Based Traffic Management Applications in Nevada,” presented at Institute of Transportation Engineers (ITE) Annual Meeting, August 2002.

 

Keywords: wind, high-profile vehicles, high wind warning system, freeway management, traffic management, control strategy, access control, advisory strategy, traveler information, internet/web site, environmental sensor station (ESS), dynamic message signs (DMS), highway advisory radio (HAR), safety


New Jersey Turnpike Authority Speed Management

 

The New Jersey Turnpike Authority (NJTA) operates an Advanced Traffic Management System (ATMS) to control 148 miles (237.9 kilometers) of the turnpike, which is one of the nation’s most heavily traveled freeways.  Various subsystems are employed to monitor road and weather conditions, manage traffic speeds, and notify motorists of hazardous conditions.  Speed management and traveler information techniques have improved roadway safety in the presence of fog, snow, and ice. 

 

System Components:  ATMS control computers are located at the turnpike Traffic Operations Center (TOC) in New Brunswick.  Data transmission between field components and central control systems is accomplished via a wireless communication system using Cellular Digital Packet Data technology.  A vehicle detection subsystem, which is comprised of inductive loop detectors and Remote Processing Units, is utilized to collect speed and volume data and to detect traffic congestion.  A Closed Circuit Television subsystem may also be used to visually verify road conditions.

 

The turnpike’s Road Weather Information System (RWIS) includes 30 Environmental Sensor Stations (ESS).  Three types of environmental sensors are deployed along the turnpike to gather road weather data.  Nine ESS detect wind speed and direction, precipitation type and rate, barometric pressure, air temperature and humidity, as well as visibility distance.  Pavement temperature and condition data are collected at 11 sites, while ten ESS simply monitor visibility distance. 

 

Traveler information is conveyed to motorist through 113 Dynamic Message Signs (DMS), 12 Highway Advisory Radio (HAR) transmitters, and a Variable Speed Limit (VSL) subsystem.  Over 120 VSL sign assemblies are positioned along the freeway at two-mile (3.2-kilometer) intervals.  Sign assemblies include VSL signs and speed warning signs, which display “REDUCE SPEED AHEAD” messages and the reason for speed reductions (i.e., “FOG”, “SNOW”, or “ICE”).

 

System Operations:  Traffic and emergency management personnel in the TOC monitor environmental data to determine when speed limits should be lowered.  When reductions are warranted, sign assemblies are manually activated to decrease speed limits in five-mph (eight-km) increments from 50, 55, or 65 mph (80.4, 88.4, or 104.5 kph) to 30 mph (48.2 kph) depending on prevailing conditions. System operators may also disseminate regulatory and warning messages via DMS and HAR.  State police officers enforce the lower speed limits by issuing summonses to drivers exceeding the posted limit.  When the vehicle detection and RWIS subsystems indicate that traffic and weather conditions have returned to normal, the original speed limits are restored.

 

Transportation Outcome:  This control strategy effectively decreases traffic speeds in adverse conditions.  Speed management and traveler information dissemination have improved safety by reducing the frequency and severity of weather-related crashes.

 

Implementation Issues:  The turnpike’s VSL subsystem is one of the oldest in the country.  In the 1950s, before the system was installed, state police officers would patrol the freeway in inclement weather and temporarily nail up plywood signs to reduce speed limits.  The VSL system was originally installed in the 1960s and upgraded in the 1980s. 

 

Contact(s): 

·          Solomon Caviness, NJTA Operations Department, 732-247-0900, caviness@turnpike.state.nj.us.

Reference(s):

·          “2000 Annual Report of the New Jersey Turnpike Authority,” NJTA Board of Commissioners, http://www.state.nj.us/turnpike/00arfull.pdf.

·          Malinconico, Joe, “If an Ill Wind Blows, Turnpike Staff Will Know,” The Star Ledger, August 09, 2001, http://www.nj.com/starledger/.

·          “Roadway Weather Station Debuts on the New Jersey Turnpike,” NJTA News Release, August 2001, http://www.state.nj.us/turnpike/01news89.htm. 

·          “Welcome to the New Jersey Turnpike,” NJTA, http://www.state.nj.us/turnpike/tpbook.pdf.

·          Science Applications International Corporation (SAIC), “Examples of Variable Speed Limit Applications,” presented at the Transportation Research Board (TRB) Annual Meeting, January 2000, http://safety.fhwa.dot.gov/fourthlevel/ppt/vslexamples.ppt.

·          Sisiopiku, V., “Variable Speed Control: Technologies and Practice,” Michigan State University, presented at the 2001 Annual Meeting of ITS America.

·          Zarean, M., et al, “Applications of Variable Speed Limit Systems to Enhance Safety,” SAIC, presented at the 7th World Congress on ITS, September 2000.

 

Keywords:  fog, visibility, adverse weather, snow, ice, winter storm, speed management, freeway management, traffic management, emergency management, law enforcement, traffic control, control strategy, motorist warning system, advisory strategy, traveler information, vehicle detection, environmental sensor station (ESS), road weather information system (RWIS), dynamic message sign (DMS), variable speed limit (VSL), highway advisory radio (HAR), crashes, safety


City of New York, New York Anti-Icing/Deicing System

 

The New York City Department of Transportation (DOT) developed a fixed anti-icing system prototype for a portion of the Brooklyn Bridge.  The system sprays an anti-icing chemical on the bridge deck when adverse weather conditions are observed.  Anti-icing reduces the need to spread road salt, which has contributed to corrosion of bridge structures.

System Components: The anti-icing system is comprised of a control system, a chemical storage tank containing liquid potassium acetate, a pump, a network of PVC pipes installed in roadside barriers, check valves with an in-line filtration system, 50 barrier-mounted spray nozzles, and a Dynamic Message Sign (DMS).  The DMS displays warnings to alert motorists during spray operations.  A Closed Circuit Television (CCTV) camera allows operators to visually monitor the anti-icing system.

 

Each self-cleaning nozzle delivers up to three gallons (11.4 liters) of chemical per minute at a 15-degree spray angle.  This angle minimizes misting that could reduce visibility. Two nozzle configurations were implemented to investigate different spray characteristics.  On both sides of one bridge section, nozzles were installed 20 feet (6.1 meters) apart for simultaneous spraying.  On another section, sequential spray nozzles were mounted on only one side of the bridge.

 

System Operations: System operators consult television and radio weather forecasts to make road treatment decisions. When anti-icing is deemed necessary, “ANTI-ICING SPRAY IN PROGRESS” is posted on the DMS and the system is manually activated to spray potassium acetate on the pavement for two to three seconds, delivering a half-gallon per 1,000 square feet (1.9 liters per 92.9 square meters).

 

Operators then review forecasts and view CCTV video images to monitor weather and pavement conditions.  If there is a 60 percent or greater chance of precipitation and pavement temperatures are predicted to be lower than the air temperature, maintenance crews are mobilized to supplement anti-icing operations with plowing to remove snow and ice.  The operational sequence is depicted in Figure 16.

 

Transportation Outcome:  An analysis of maintenance operations found that bridge sections treated with the anti-icing system had a higher level of service than segments treated by snowplows and truck-mounted chemical sprayers.  Road segments treated by the anti-icing system have less snow accumulation than sections treated conventionally.  Pavement conditions during a snow event in January 1999 are depicted below in Figures 17A and 17B. 

City of New York Bridge SectionEvaluation results indicated that the anti-icing system improves roadway mobility and safety in inclement weather.  The system was most effective when chemical applications were initiated at the beginning of weather events.  If potassium acetate was sprayed more than an hour before a storm, vehicle tires dispersed the chemical necessitating subsequent applications.  The system also improves productivity by extending the life of bridges and minimizing treatment costs associated with mobilizing maintenance crews, preparing equipment, and traveling to treatment sites on congested roads.

 

Implementation Issues:  Corroded steel grid members were observed in the concrete bridge deck during routine repaving operations in the summer of 1998.  The anti-icing system prototype was designed to apply a less corrosive chemical than salt and to minimize the need for road infrastructure repairs.  During system design and testing various chemical delivery configurations were examined to determine the appropriate spray pattern, angle, and pressure.  Due to concerns about bridge deck integrity, nozzles were barrier-mounted rather than embedded in the road surface. 

 

System performance was evaluated over the 1998/1999, 1999/2000, and 2000/2001 winter seasons.  The evaluation included an assessment of the capabilities and reliability of system components, documentation of spray area coverage, a review of road treatment procedures and results, and a cost analysis comparing the anti-icing system to conventional treatment techniques. 

 

The DOT would like to expand the anti-icing system by integrating a Road Weather Information System (RWIS) with the control system, the CCTV camera, and the DMS to improve treatment decision-making.  A wireless or fiber optic cable communication network is envisioned for connectivity of these elements.  Deployment of the system on the entire Brooklyn Bridge and on other local bridges is also anticipated.  

 

 

Contact(s):

·          Brandon Ward, New York City DOT, Project Manager, 212-788-1720, bward2@dot.nyc.gov.

Reference(s): 

·          Ward, B., “Evaluation of a Fixed Anti-Icing Spray Technology (FAST) System,” New York City DOT, Division of Bridges, presented at the Transportation Research Board (TRB) Annual Meeting, January 2002.

 

Keywords:  snow, ice, winter storm, anti-icing/deicing system, freeway management, winter maintenance, bridge, forecasts, treatment strategy, chemicals, maintenance vehicle, air temperature, pavement temperature, pavement condition, traveler information, advisory strategy, dynamic message sign (DMS), closed circuit television (CCTV), safety, mobility, productivity


City of Charlotte, North Carolina Weather-Related Signal Timing

 

In North Carolina, the City of Charlotte Department of Transportation (DOT) manages the operation of 615 traffic signals with a computerized control system.  In the central business district weather-related signal timing plans are utilized at 149 signals to reduce traffic speeds during severe weather conditions.  Weather-related signal timing can also be employed at over 350 intersections controlled by closed-loop signal systems.

     

System Components:  The traffic signal control system is comprised of signal controllers located at City intersections, a Closed Circuit Television (CCTV) surveillance system, twisted pair cable and fiber optic cable communication systems, and a signal system control computer in the Traffic Operations Center (TOC).  Images from over 25 CCTV cameras on major arterial routes are transmitted to the TOC and displayed on video monitors.  Various timing plan patterns, which are stored in the computer, can be selected and downloaded to field controllers via the communication systems.

 

System Operations:  System operators assess traffic and weather conditions by viewing CCTV video images and receiving weather forecasts.  Forecast data is available through radio and television broadcasts, the National Weather Service (NWS) website, and a private weather service vendor.  When heavy rain, snow, or icy conditions are observed operators access the signal computer and manually implement weather-related timing plans.  To slow the progression speed of traffic these signal timing plans increase the cycle length—which is typically 90 seconds—while offsets and splits remain the same.  During off-peak periods operators may also select peak period timing patterns, which are designed for lower traffic speeds. 

 

System operators monitor roadway operations after weather-related signal timing plans have been executed.  If warranted by field conditions, operators can increase cycle lengths to further reduce traffic speeds.  When road weather conditions return to normal, operators access the central computer to restore normal time-of-day/day-of-week timing plans.

 

Transportation Outcome: By selecting signal timing plans based upon prevailing weather conditions traffic managers have improved roadway safety by reducing speeds and minimizing the probability and severity of crashes.  Travel speeds decrease by five to ten mph (eight to 16 kph) when weather-related signal timing is utilized.

 

Implementation Issues:  The City’s TOC is typically staffed during AM and PM peak periods.  However, traffic managers may extend the hours of operation when adverse weather is predicted or observed.  System operators may be required to come in early or stay late depending upon the timing and nature of a storm event. 

 

The signal operations staff is very experienced.  Most system operators have worked for the City of Charlotte for over ten years.  Decisions to execute weather-related signal timing are based upon operator observations, knowledge, and judgment.  Road weather conditions are closely monitored to determine the type of storm and its area of influence.  Operators modify signal timing only when weather impacts are widespread and affect a significant portion of the City’s intersections.

 

 


Renovation of the TOC is expected to be complete by the end of 2002.  The signal system control computer will be replaced, a new projection screen and new video monitors will be installed, a six-workstation control console will be positioned in the control room, and a fiber optic cable communication link will be established with the North Carolina DOT Traffic Management Center.  This link will allow the City to access video from roughly 30 state-owned CCTV cameras as well as facilitate data sharing and coordination between the city and the state.  

 

 

Contact(s):

·          Art Stegall; City of Charlotte DOT, Signal System Supervisor; 704-336-3914, astegall@ci.charlotte.nc.us.

·          Bill Dillard; City of Charlotte DOT, Chief Traffic Engineer; 704-336-3912, wdillard@ci.charlotte.nc.us.

Reference(s):

·          City of Charlotte, “The Charlotte Department of Transportation Website,” http://www.ci.charlotte.nc.us/citransportation/cdot.html.

·          USDOT, “Charlotte, North Carolina Integration Project,” 2002 Intelligent Transportation Systems (ITS) Projects Book, FHWA, ITS Joint Program Office, http://www.itsdocs.fhwa.dot.gov//jpodocs/repts_te/13631/ttm-374.html.

·          USDOT, “Charlotte ITS Integration,” 2002 Intelligent Transportation Systems (ITS) Projects Book, FHWA, ITS Joint Program Office, http://www.itsdocs.fhwa.dot.gov//jpodocs/repts_te/13631/ttm-359.html.

 

Keywords: rain, snow, ice, weather-related signal timing, arterial management, traffic management, traffic control, control strategy, forecasts, weather information, closed circuit television (CCTV), speed, crashes, safety


Oklahoma Environmental Monitoring System

 

Public safety officials with various agencies utilize OKlahoma’s First-response Information Resource System using Telecommunications (OK-FIRST) to accurately identify weather threats and make effective public safety decisions.  OK-FIRST is a decision support system that facilitates data sharing and provides emergency managers with web-based, real-time environmental data.

 

Text Box:   Figure 18 – Oklahoma Environmental
Monitoring System Map
System Components:  Through the information system, emergency managers obtain agency-specific, county-level weather data from the Oklahoma mesoscale environmental monitoring network (i.e., mesonet) and various radar systems.  The mesonet includes over 110 Environmental Sensor Stations (depicted in Figure 18). The OK-FIRST web site and electronic bulletin board system also foster communication and information sharing among various public safety agencies in different jurisdictions. The Oklahoma Department of Public Safety maintains a leased-line, digital communication network named the Oklahoma Law Enforcement Telecommunications System (OLETS).  Over 200 participants access OK-FIRST through OLETS including law enforcement, emergency management, and fire service agencies.

 

System Operations:  Mesonet data is packaged into five-minute observations and transmitted via OLETS and a radio communication system to the University of Oklahoma for quality assurance, integration with National Weather Service data, and dissemination via the web.  Emergency managers access OK-FIRST to identify and respond to severe storms, tornadoes, flooding, and wild fires. 

 

Transportation Outcome:  On May 3, 1999 over 50 tornadoes impacted northern and central Oklahoma damaging nearly 10,000 buildings, and causing 44 fatalities and over 700 injuries.  In Seminole County emergency response vehicles were traveling to the Oklahoma City area on Interstate 40.  With information from OK-FIRST the county’s emergency manager identified a developing tornado that would cross the freeway in front of the emergency vehicle convoy.  When responders were notified they stopped near Shawnee, Oklahoma and closed the interstate to prevent response and passenger vehicles from driving into the tornado’s path. 

 

Emergency managers in Logan County spotted a tornado in the path of an ambulance transporting a critically injured victim from Crescent to a hospital in Guthrie, Oklahoma.  Ambulance personnel were instructed to halt the vehicle until the tornado had passed.  These decisions ensured the safety of both response personnel and the traveling public.

 


Emergency managers have also used OK-FIRST to respond to flood events.  In one county, emergency managers monitored rainfall amounts during a storm, and closed a susceptible bridge before it was washed away.  In another county, emergency managers observed water levels within six inches (15.2 centimeters) of flood stage, but decided to do nothing.  Information from OK-FIRST indicated that the threat had passed as waters were receding.  In addition to enhancing safety OK-FIRST results in productivity improvements by decreasing the number of storm spotters and by minimizing overtime for winter road maintenance personnel.

 

Implementation Issues: In 1996 OK-FIRST was funded by a grant from the Technology Opportunities Program (formerly the Telecommunications Information and Infrastructure Assistance Program), sponsored by the US Department of Commerce.  The DPS has provided support funding since that time.  After system components were installed, integrated, and tested all participating agencies were offered training on the Oklahoma Mesonet to learn how access to environmental information could enhance their operations.  An independent evaluation found that the knowledge and skills of OK-FIRST users were significantly enhanced.

 

 

Contact(s):

·          Dale Morris, Oklahoma Climatological Survey, University of Oklahoma, dmorris@ou.edu.

Reference(s): 

·          Crawford, K. and Morris, D., “The Killer Tornado Outbreak of 3 May 1999: Applications of OK-FIRST in Rural Communities,” presented at the 16th International Conference on Interactive Information and Processing System for Meteorology, Oceanography, and Hydrology; January 2000; http://okfirst.ocs.ou.edu/press/preprints/16iips/1_2.pdf.

·          James, T., et al, “An Independent Evaluation of the OK-FIRST Decision-Support System,” University of Oklahoma, http://okfirst.ocs.ou.edu/press/preprints/2envapps/1_11.pdf.

·          Morris, D., et al, “OK-FIRST: A Meteorological Information System for Public Safety,” Bulletin of the American Meteorological Society: Vol. 82, No. 9, pp. 1911-1923, 2001, http://ams.allenpress.com/amsonline/?request=get-pdf&file=i1520-0477-082-09-1911.pdf.

·          Morris, D., et al, “OK-FIRST:  An Example of Successful Collaboration between the Meteorological and Emergency Response Communities on 3 May 1999,” Weather and Forecasting, Vol. 17, No. 3, pp. 567-576, 2002, http://ams.allenpress.com/amsonline/.

·          Oklahoma Climatological Survey, “OK-FIRST Website,” 2000, http://okfirst.ocs.ou.edu/.

·          Oklahoma Climatological Survey, “Oklahoma Mesonet Website,” 2002, http://okmesonet.ocs.ou.edu/.

 

Keywords:  adverse weather, tornado, flooding, environmental monitoring system, emergency management, law enforcement, decision support, advisory strategy, institutional issues, weather information, environmental sensor station (ESS), internet/web site, safety

 


South Carolina Hurricane Evacuation Operations

 

In September 1999 roughly three million people were evacuated from coastal areas in Florida, Georgia, North Carolina, and South Carolina prior to landfall of Hurricane Floyd.  Over 500,000 South Carolinians evacuated from six coastal counties.   Because managers with the South Carolina Department of Transportation (DOT) and the South Carolina Department of Public Safety had not agreed on a lane reversal plan prior to Hurricane Floyd, contraflow (i.e., lane reversal) was not employed during the evacuation.  Consequently, there was severe congestion on Interstate 26 between Charleston and Columbia.  Traffic and emergency managers quickly developed a contraflow plan for reentry operations after the hurricane. 

 

System Components:  Managers utilized storm track, wind speed, and precipitation forecast data in combination with population density and topographic information to identify areas threatened by storm surge and inland flooding.  Emergency managers consulted various information sources including the National Weather Service, the National Hurricane Center, the Federal Emergency Management Agency, as well as decision support applications such as HURREVAC (www.hurrevac.com) and HurrTrak (www.weathergraphics.com/ht/). Traffic managers monitored traffic flow with two permanent vehicle detection sites along the highway and portable detection equipment on other road facilities.   During reentry operations, portable Dynamic Message Signs (DMS) and Highway Advisory Radio (HAR) transmitters were positioned along the interstate to alert drivers of contraflow operations.

 

Text Box:   Figure 19 – South Carolina DOT Contraflow OperationsSystem Operations:  DOT managers worked closely with Highway Patrol personnel during evacuation and reentry operations.  Traffic and emergency managers also coordinated with other local, state, and federal agencies.   Before traffic flow on westbound lanes could be reversed for reentry (i.e., contraflowed from Columbia to Charleston as shown in Figure 19), DOT and DPS personnel were mobilized and equipment was prepositioned.  Lanes to be reversed were cleared of all traffic, and traffic control devices and barricades were erected.  Access ramps to westbound lanes and some minor interchanges were closed. Highway Patrol personnel staffed all closed ramps and patrol vehicles were stationed along the 95-mile (152.7-kilometer) contraflow route to manage incidents.  Traffic managers continuously polled vehicle detectors to monitor traffic operations.

     

Transportation Outcome: On Tuesday, September 14th the Governor issued a voluntary evacuation order at 7:00 AM followed by a mandatory evacuation order at noon.  In response, over 350,000 people evacuated on Tuesday and roughly 160,000 departed on Wednesday.   The timing of evacuation orders, the public’s response to the orders, the lack of lane reversal operations, and unmanned traffic signals in small towns contributed to severe congestion on Interstate 26 between Charleston and Columbia.  Travel time, which is normally 2½ hours, ranged from 14 to 18 hours during the evacuation.  The maximum per lane volume on the interstate was 1,445 vehicles per hour.

 

The Governor ordered contraflow operations to minimize travel times during reentry.  Traffic and emergency managers quickly developed a contraflow plan to accommodate reentry traffic in reversed westbound lanes.  DMS and HAR were deployed to notify travelers of closures and alternate routes.  As a result of contraflow, the maximum volume during reentry was 2,082 vehicles per hour per lane—a 44 percent increase over evacuation volumes.  Contraflow operations and dissemination of traveler information significantly improved mobility by increasing roadway capacity and traffic volumes.

 

Implementation Issues:  When planning contraflow operations managers must designate routes, determine initiation and termination points, select a contraflow strategy, establish criteria for implementation, arrange enforcement and incident management, promote institutional coordination, as well as communicate with political officials and the public.  Geometric modifications to the roadway or special traffic control patterns may be required at contraflow initiation and termination points.  After Hurricane Floyd, the South Carolina DOT constructed and X-shaped median crossover with a 45-mph (72-kph) design speed.  During normal traffic operations, a water-filled barrier prevents vehicles from crossing into the wrong lanes.   The barrier can be drained and removed by two people when lanes are reversed.  Short connecting roads may have to be constructed between ramps and freeway lanes to facilitate access in the opposite direction.  In Charleston, the DOT constructed a short road segment between a ramp from Interstate 526 to Interstate 26 in order to provide outbound traffic access to inbound lanes. 

 

Other geometric and operational considerations include the condition and width of shoulder lanes, bridge widths, guardrail treatments, and separating traffic flows at termination points to prevent congestion caused by merging normal and reversed lanes.   Where contraflow terminates in Columbia, traffic in normal lanes will be detoured onto Interstate 77.  After the Interstate 26/Interstate 77 interchange, traffic in reversed lanes will cross the median to access the normal westbound lanes of Interstate 26.

 

After initiation and termination points are designed, one of four contraflow strategies must be selected.  The first strategy reverses all coast-bound lanes.  The second contraflow strategy reverses all but one coast-bound lane for use by emergency and patrol vehicles involved in incident management.  In addition to emergency and patrol vehicles, the third contraflow strategy allows passenger vehicles to use the single coast-bound lane. The fourth strategy utilizes an inbound shoulder lane for evacuating traffic and reverses all but one coast-bound lane.

 

Traffic control devices and law enforcement officers should be positioned at initiation points, termination points, and closed facilities to ensure roadway safety.  The National Guard may be activated to assist with these duties.  Construction work zones should also be removed and shoulders should be cleared of debris before contraflow operations begin.

 

Traffic volumes and speeds should be monitored throughout contraflow operations.  This information may be useful in determining when lane reversal should be terminated or when alternate routes should be considered.   Vehicle detection devices on reversed lanes and processing software must to be capable of counting vehicles and calculating speeds in the opposite direction.  

 


Criteria and procedures for implementing and terminating contraflow must be established prior to hurricane season.  Implementation criteria may include mobilization time, minimum traffic volumes, and daylight hours.   Contraflow must be terminated in time to clear the route of all traffic prior to landfall, secure or remove susceptible equipment, and ensure the safety of personnel in the field.  Lane reversal operations typically end two hours before hurricane landfall is expected.

 

Dissemination of pre-trip and en-route traveler information, as well as institutional coordination are other considerations.  Emergency and traffic managers at county and state levels must communicate effectively.  Multi-state coordination is also critical.  During the Hurricane Floyd evacuation managers in South Carolina worked with managers in Georgia to facilitate smooth traffic flow across the state boundary.

 

 

Contact(s):

·          Harry Stubblefield, South Carolina Highway Patrol, 803-896-4786, stubblefield_harrya@scdps.state.sc.us.

·          Brett Harrelson, South Carolina DOT, 803-737-1623, harrelsodb@dot.state.sc.us.

Reference(s): 

·          PBS&J, “Reverse Lane Standards and ITS Strategies Southeast: Southeast United States Hurricane Study Technical Memorandum No. 1 Final Report,” June 2000, http://www.fhwaetis.com/etis/ITS.htm.

·          Wolshon, B., et al, “National Review of Hurricane Evacuation Plans and Policies,” Louisiana State University Hurricane Center, 2001, http://www.hurricane.lsu.edu/.

·          Cutter, S., et al, “South Carolina’s Evacuation Experience with Hurricane Floyd: Preliminary Report #1,” University of South Carolina Hazards Research Lab, March 2000, http://www.cla.sc.edu/geog/hrl/Floyd2.html.

 

Keywords: hurricane, wind, precipitation, flooding, hurricane evacuation operations, freeway management, emergency management, law enforcement, traffic management, institutional issues, control strategy, traffic control, access control, advisory strategy, traveler information, forecasts, weather information, decision support, vehicle detection, dynamic message sign (DMS), highway advisory radio (HAR), volume, mobility


South Carolina DOT Low Visibility Warning System

 

As a result of a federal court decision the South Carolina Department of Transportation (DOT) was required to incorporate fog mitigation technologies during construction of the Interstate 526 Cooper River Bridge.  The DOT deployed a low visibility warning system on seven miles (11.3 kilometers) of the freeway to inform drivers of dense fog conditions, reduce traffic speeds, and guide vehicles safely through the fog-prone area.

 

System Components:  Warning system components include an Environmental Sensor Station (ESS), five forward-scatter visibility sensors spaced at 500-foot (152.4-meter) intervals, pavement lights installed at 110-foot spacing (33.5-meter), adjustable street light controls, eight Closed Circuit Television (CCTV) cameras, eight Dynamic Message Signs (DMS), a Remote Processing Unit (RPU), a central control computer, and a fiber optic cable communication system.  The ESS measures wind speed and direction, air temperature, and humidity.  The on-site RPU transmits field sensor data to the control computer, which is located in a DOT district office.

 

System Operations:  The central computer’s decision support software predicts or detects foggy conditions, correlates environmental data with predetermined response strategies, and alerts traffic managers in the district office.  When alerted by the computer, system operators view images from the CCTV cameras to verify reduced visibility conditions.  Operators may accept or decline response strategies recommended by the computer system.  Potential advisory and control strategies include displaying pre-programmed messages on DMS, illuminating pavement lights to guide vehicles through the fog, extinguishing overhead street lights to minimize glare, and closing the freeway and detouring traffic to Interstate 26 and US Highway 17.  When warranted, Highway Patrol officers erect barricades to close the freeway.  Response strategies for various visibility ranges are shown in Table 7.

 

Table 7 – South Carolina DOT Low Visibility Warning System Strategies

Visibility Conditions

Advisory

Strategies

Control
Strategies

700 to 900 feet

(213.4 to 274.3 meters)

“POTENTIAL FOR FOG” and “LIGHT Fog CAUTION” on DMS

“LIGHT Fog TRUCKS 45 MPH” and

“TRUCKS KEEP RIGHT” on DMS

450 to 700 feet

(137.2 to 213.4 meters)

“FOG CAUTION” and

“FOG REDUCE SPEED” on DMS

Pavement lights illuminated

“FOG REDUCE SPEED 45 MPH” and

“TRUCKS KEEP RIGHT” on DMS

300 to 450 feet

(91.4 to 137.2 meters)

“FOG CAUTION” on DMS

Pavement lights illuminated and

overhead street lighting extinguished

“FOG REDUCE SPEED 35 MPH” and

“TRUCKS KEEP RIGHT” on DMS

Less than 300 feet

N/A

Pavement lights illuminated and

overhead street lighting extinguished

“DENSE FOG REDUCE SPEED 25 MPH” and “TRUCKS KEEP RIGHT” on DMS

If warranted, “PREPARE TO STOP”,

“I-526 BRIDGE CLOSED AHEAD USE I-26/US 17”, and “ALL TRAFFIC MUST EXIT” on DMS

Transportation Outcome: The low visibility warning system enhances mobility by providing traveler information and clearly delineating travel lanes with pavement lights.  Regarding safety, no fog-related crashes have occurred since the system was deployed.

 

Implementation Issues:  The owner of a paper mill near the Cooper River Bridge site filed a lawsuit against the South Carolina DOT as they planned construction of the bridge in the mid-1980s.  The bridge was to be built at the same height as the paper mill’s smoke stacks.  After reviewing various fog mitigation techniques recommended by a consulting firm, a federal judge required that a low visibility warning system be included in the bridge construction project.

 

The warning system began operating in 1992.  Initially, there were several system reliability problems related to the harsh, outdoor environment.  In order to prevent unnecessary activations system software was calibrated to average visibility distance observations and disregard low readings caused by smoke plumes from the paper mill.  Components of the microwave communication system, which was originally deployed, were struck by lightning and ultimately replaced by the fiber optic cable communication system.  The DOT permitted the installation of privately owned communication cables in the state’s right-of-way in exchange for dedicated fibers from the project site to the district office.

 

 

Contact(s):

·          Robert Clark, South Carolina DOT, District 6 Engineer and Administrator, 843-740-1665 ext. 114, clarkrt@dot.state.sc.us.  

Reference(s): 

·          Center for Urban Transportation Research, “Evaluation of Motorist Warning Systems for Fog-Related Incidents in the Tampa Bay Area,” University of South Florida, p. 25, June 1997, http://www.cutr.eng.usf.edu/research/fog.pdf.

·          Clark, R., “Fog Hazard Mitigation on Interstate 526,” South Carolina DOT, District 6.

·          Schreiner, C., “State of the Practice and Review of the Literature: Survey of Fog Countermeasures Planned or In Use by Other States,” Virginia Tech Research Council, October 2000.

·          Transportation Research Board (TRB) Freeway Operations Committee Meeting, FHWA Field Office Report, January 1998, http://depts.washington.edu/trba3a09/status/jan1998/fhwa.htm.

·          Werts, R., “ITS In South Carolina,” South Carolina Department of Transportation, www.nawgits.com/aashto/ats2k/scdot.doc.

 

Keywords:  fog, visibility, low visibility warning system, freeway management, traffic management, advisory strategy, motorist warning system, traveler information, control strategy, speed management, access control, decision support, environmental sensor station (ESS), closed circuit television (CCTV), dynamic message sign (DMS), vehicle guidance, lighting, high-profile vehicles, safety, mobility


Tennessee Low Visibility Warning System

 

On December 11, 1990 the visibility distance on a segment of Interstate 75 in southeastern Tennessee was less than 10 feet (3.1 meters).  In both northbound and southbound lanes extremely low visibility contributed to chain-reaction collisions involving 99 vehicles, 42 injuries, and 12 fatalities.  This crash prompted the design and implementation of a low visibility warning system on the interstate freeway.  The system covers 19 miles (30.6 kilometers) including a three-mile (five-kilometer), fog-prone section above the Hiwassee River and eight-mile (13-kilometer) road sections on each side of the river.

Text Box:  
Figure 20 – Tennessee
VSL Sign

System Components:  Managers with the Tennessee Department of Transportation (DOT) and the Tennessee Department of Safety access a central computer system that collects field data from two Environmental Sensor Stations, eight forward-scatter visibility sensors, and 44 vehicle detectors.  Underground fiber optic cables transmit sensor data from the roadway to an on-site computer for processing.   Data from the on-site computer is relayed via a microwave communication system to the central computer in the Highway Patrol office in Tiftonia. 

 

Traffic and emergency managers employ both advisory and control strategies.  Motorists are notified of prevailing conditions via flashing beacons atop six static signs, two Highway Advisory Radio (HAR) transmitters, and ten Dynamic Message Signs (DMS).  Roadside delineator posts with highly reflective stripping are spaced roughly 80 feet (24.4 meters) apart throughout the project area for visual observation of visibility conditions.  Speed management is accomplished by controlling ten Variable Speed Limit (VSL) signs, shown in Figure 20.  When necessary, access to the affected highway section is restricted with eight gates located on interchange ramps.  

System Operations:  By continually monitoring sensor data, the on-site computer predicts and detects conditions conducive to fog formation and detects significant reductions in traffic speed.  The central computer sounds an audible alarm in the Highway Patrol office when established threshold criteria are met.  When alerted dispatchers post a reduced speed message on DMS and notify Highway Patrol troopers.  Troopers are stationed in the project area from 5:00 AM to 10:00 AM when most fog events occur.  Within five minutes of an alarm troopers verify conditions by counting the number of visible delineator posts. 

 

Control software provides decision support by correlating field sensor data with pre-determined response scenarios.  When troopers confirm low visibility conditions, managers select pre-programmed DMS messages, pre-recorded HAR messages, and appropriate speed limits based upon scenarios proposed by the central computer.  The system also allows the display or broadcasting of customized messages. 

 


Managers are notified if visibility distance is less than 1,320 feet (402.3 meters) or if average speed falls below 45 mph (74 kph).  The speed limit is reduced from 65 to 50 mph (105.4 to 80.4 kph) when visibility is between 480 feet (146.3 kph) and 1,320 feet.  The limit is lowered to 35 mph (56.3 kph) for visibility distances between 240 and 480 feet.  Managers also notify local media when the warning system is activated. 

Text Box:  
Figure 21 – Tennessee Ramp Gate

Under the worst-case scenario—visibility less than 240 feet or 73.2 meters—Highway Patrol troopers activate automatic ramp gates to close the interstate and detour traffic to US Highway 11 (see Figure 21).  Low visibility has caused freeway closures twice since the warning system was deployed; once due to fog and once due to smoke from a nearby fire.  Advisory and control strategies are summarized in Table 8.

 

 

Table 8 – Tennessee Low Visibility Warning System Strategies

Conditions

Advisories on DMS

Other Strategies

Speed Reduced

“CAUTION” alternating with

“SLOW TRAFFIC AHEAD”

N/A

Fog Detected

“CAUTION” alternating with

“FOG AHEAD TURN ON LOW BEAMS”

·          “FOG” displayed on VSL signs

Speed Limit Reduced

“FOG AHEAD” alternating with

“ADVISORY RADIO TUNE TO XXXX AM”

·          “FOG” & Reduced Speed Limits displayed on VSL signs

 

·          HAR messages broadcasted

“FOG AHEAD” alternating with

“REDUCE SPEED TURN ON LOW BEAMS”

“FOG” alternating with

“SPEED LIMIT XX MPH”

Roadway Closed

“DETOUR AHEAD” alternating with

“REDUCE SPEED MERGE RIGHT”

·          “FOG” displayed on VSL signs

 

·          HAR messages broadcasted

 

·          Ramp Gates closed

“I-75 CLOSED” alternating with

“DETOUR”

“FOG AHEAD” alternating with

“ADVISORY RADIO TUNE TO XXXX AM”

 

Transportation Outcome:  From October to March, the low visibility warning system is typically activated about once a week.  Ninety-five percent of system activations result in a speed limit reduction to 50 mph.   Approximately 13 percent of activations required further reduction to 35 mph.  There have been over 200 crashes, 130 injuries and 18 fatalities on this highway section since the interstate opened in 1973.  Safety improved significantly after deployment of the warning system in 1994, as only one crash has occurred in fog.

 

Implementation Issues:  After the multi-vehicle crash in 1990, a DOT and Department of Safety task force investigated fog-related crashes on the affected freeway segment, which was near settling ponds owned by a local paper mill, and recommended deployment of a fog warning system.  When planning the Interstate 75 system, managers assessed another low visibility warning system in Charleston, South Carolina. 


Field device technologies, system components, and operational procedures were evaluated to assist Tennessee managers with system design.  After developing requirements for equipment, communications, and power supply DOT managers determined system scope (i.e., coverage of the most fog-prone area), field equipment locations, and warning messages.  To ensure system reliability, backup radio and telephone communication systems, as well as an emergency power system were designed.  Construction was completed in 1992 and the system began operating in 1993.

 

Some system integration problems were experienced during implementation.  There were minor complications associated with hardware failures due to the harsh outdoor environment.  Lightning protection systems were installed to prevent hardware damage.  Communication failures were minimized by mounting stabilization devices on microwave antennas to prevent misalignment in high winds.  Traffic managers have been unable to observe system status or receive alerts due to trouble with data transmission from the project site to the regional DOT office. 

 

System designers addressed system maintenance and expandability.  Both routine and emergency maintenance are performed regularly on all system components.  The system was planned to accommodate future integration of new technologies or components, including an upgrade to the microwave communications system and a new digital Closed Circuit Television surveillance system.

 

 

Contact(s): 

·          Don Dahlinger, Tennessee DOT, Engineering Manager, 615-741-3033, ddahlinger@mail.state.tn.us.

·          John Savage, Tennessee Department of Safety, Chattanooga District Supervisor, 423-634-6898.

Reference(s): 

·          Dahlinger, D. “Tennessee Fog Detection and Warning System,” Public Works, presented at the Southern Rural Transportation Workshop, May 2001.

·          Dahlinger, D. and McCombs, B., “Fog Warning System Provides a Safety Net for Motorist,” Public Works, December 1995.

·          Tennessee ITS State Status Report, “Fog Project on I-75 between Chattanooga and Knoxville,” October 2000, www.its.dot.gov/staterpt/tn.htm.

·          Clayton, R., “10 Years After Tragedy, Fog Warnings are Heeded,” the Chattanooga Times and Free Press, December 2000;

·          National Transportation Safety Board (NTSB), “Multiple-Vehicle Collisions and Fire During Limited Visibility (Fog) on Interstate 75 near Calhoun, Tennessee,“ Highway Accident Report NTSB No. HAR-92/02, NTIS No. PB92-916202, September 1992.

·          Schreiner, C., “State of the Practice and Review of the Literature: Survey of Fog Countermeasures Planned or in Use by Other States,” Virginia Tech Research Council, pp. 21-23, October 2000.

 

Keywords:  fog, visibility, low visibility warning system, freeway management, traffic management, emergency management, law enforcement, advisory strategy, motorist warning system, traveler information, control strategy, speed management, access control, decision support, vehicle detection, environmental sensor station (ESS), variable speed limit (VSL), dynamic message signs (DMS), highway advisory radio (HAR), gates, crashes, safety


City of Dallas, Texas Flood Warning System

 

In May 1995 a rain event caused widespread flooding in the City of Dallas, Texas resulting in seven roadway fatalities.  The City deployed an automated system to monitor water levels at over 40 stream locations near roads and warn motorists of high water until maintenance personnel can barricade dangerous roads.

 

Text Box:   Figure 22 – City of Dallas, TX Flood Warning System
Sign Assembly
System Components:  The flood warning system consists of stilling wells, Remote Processing Units (RPUs), Dynamic Message Signs (DMS), a radio communication system, and a central computer system.  A stilling well is comprised of a 3-foot  (0.9-meter) long pipe, a pressure transducer, and a float switch to measure stream levels.  When high water is detected, RPUs activate sign assemblies and report stream levels to the central computer.  Each RPU—which is housed in a pole-mounted enclosure—includes radio communication devices, solar or electrical power systems, and controls to reset sign assemblies.  At each monitoring site, one to four sign assemblies are installed near the road to alert motorists.  Sign assemblies include electromechanical DMS, two flashing beacons, radio communication devices, and power systems. 

 

System Operations:  When water reaches the roadway edge RPUs automatically activate flashing red beacons and change sign messages from “HIGH WATER WHEN FLASHING” to “DO NOT ENTER HIGH WATER”.  Sign assemblies, shown in Figure 22, send a message back to the RPU to verify proper operation.  Remote processing units transmit water level and sign status to the central computer every hour via the radio communication system.  When high water is detected by field components, the central computer is immediately alerted and sends alphanumeric pages to maintenance staff who then erect barricades on threatened roads.  The central computer also posts road closures on the City’s “Flooded Roadway Warning System” web site (www.ci.dallas.tx.us/sts/html/frws.html).  When the water recedes, maintenance staff are paged again to notify them that barricades can be removed and signs assemblies can be reset.

 

Transportation Outcome: The flood warning system improves roadway safety, as most motorists heed sign warnings and avoid hazardous conditions.  Further, since the system was installed in April 2000 no claims related to flooded roads have been filed against the City. 

 

Implementation Issues:  During system design the City identified sites warranting motorist notification.  Locations with a history of flooding or where drowning deaths had occurred were selected.  After field equipment locations were selected, system requirements were established.  The City desired a cost effective warning system that could be integrated with existing hydrologic monitoring systems, including the Automated Local Evaluation in Real-Time (ALERT) system and the Supervisory Control and Data Acquisition (SCADA) system.

 


System designers considered using gate arms to restrict roadway access.  Gate configurations were eliminated due to their high costs and history of damage by vehicles attempting to circumvent them.  To reduce deployment costs, solar power supply systems were designed for most monitoring sites.  Electric power service was arranged for a few sites in shaded areas.   Incorporating RPUs that technicians were familiar with further minimized deployment costs associated with training.

 

Because the City could be held liable if warning signs do not activate during flooding, all field equipment is serviced and tested frequently.  All field components are inspected, cleaned, and calibrated every six months.  Once a month, maintenance personnel travel to each monitoring site and manually activate sign assemblies to ensure proper operation. 

 

 

Contact(s):

·          Don Lawrence, City of Dallas Flood Control District, 214-670-6523, dlawren@ci.dallas.tx.us.

Reference(s):

·          Lawrence, D., “Innovations in Flood Warning: What’s Happening in Dallas?”, presented at the 12th Conference and Exposition of the Southwest Association of ALERT Systems, 2000, http://www.udfcd.org/saas2000/abstracts/Don%20Lawrence%20abstract.html.

 

Keywords:  rain, flooding, flood warning system, arterial management, traffic management, advisory strategy, motorist warning system, dynamic message signs (DMS), control strategy, access control, safety

 


Houston, Texas Environmental Monitoring System

 

Four agencies in the Greater Houston area have partnered to provide transportation management and emergency management services to the region.  The Houston TranStar consortium includes the Texas Department of Transportation (DOT), City of Houston Traffic Operations, Harris County (i.e., Traffic Operations and the Office of Emergency Management (OEM), and the Metropolitan Transit Authority of Harris County.  TranStar partners—who are collocated in a combined management center—utilize an environmental monitoring system to identify and respond to weather threats (e.g., flooding, ice, high winds).  Partners also disseminate environmental data to the traveling public.

 

Text Box:  
Figure 23A – Houston, TX Water Level Gauge

 
Figure 23B – Houston, TX Static Warning Sign
System Components: The monitoring system includes 164 Environmental Sensor Stations (ESS), 314 Closed Circuit Television (CCTV) cameras, as well as communication and central control systems.  The Harris County OEM owns 127 ESS that measure rainfall rate, rainfall accumulation, and water levels (see Figure 23A).  The DOT’s ESS detect these same conditions as well as wind speed and direction, pavement temperature, air temperature, humidity, ice and/or roadway water depth (i.e., flooding).  The CCTV cameras are used to visually monitor environmental and traffic conditions on freeways.

 

Video from CCTV cameras is sent to the TranStar management center via fiber optic cable.  A low-frequency radio communication system transmits ESS data from the field to central systems.  Data from DOT and county ESS are stored in a database and posted on the TranStar website (www.hcoem.org), which can be viewed by maintenance personnel and travelers.  Four static warning signs with flashing beacons (see Figure 23B), 13 Highway Advisory Radio (HAR) transmitters, and 153 Dynamic Message Signs (DMS) may also be used to notify motorists of prevailing conditions.

 

System Operations: Traffic and emergency managers use central computers to monitor CCTV video, ESS data, and information from the National Weather Service and private vendors (e.g., radar, river forecasts).  When established threshold criteria are met, the Emergency Operations Center (EOC) in the TranStar facility is activated and computers send alarms to maintenance managers (via email and pager).  Managers from each agency coordinate to plan appropriate responses and to warn motorists.  The transit authority uses ESS data to manage operations in High Occupancy Vehicle (HOV) lanes, which are prone to icing and flooding.  If warranted, maintenance personnel will erect barricades to close flooded roadways. 

 

Transportation Outcome:  The environmental monitoring system enhances agency productivity by eliminating trips to bridge locations, by providing decision support to managers, by fostering interagency coordination, and by facilitating efficient transportation management in inclement conditions.  Roadway safety is improved by controlling access to flooded roads and through the provision of weather-related advisories that allow travelers to make informed decisions.

Implementation Issues:  Researchers with the Texas Transportation Institute evaluated the operation of the monitoring system and designed a survey to determine how motorists access and interpret road weather information.  Survey results indicated that 43 percent of respondents utilize the Internet to obtain hazard information. 

 

 

Contact(s):

·          David Fink, Texas DOT, Transportation Operations Engineer, 713-881-3064, dfink1@houstontranstar.org.

·          Frank Gutierriuz, Harris County OEM, Operations Manager, 713-881-3083, fguiterr@houstontranstar.org.

·          Robert Benz, Texas Transportation Institute, Associate Research Engineer, 713-686-2971, r-benz@tamu.edu.

Reference(s): 

·          “Environmental Roadway Monitoring Survey Web Site,” http://www.hcoem.org/txdot_survey.htm.

·          FHWA, “Houston ITS Priority Corridor,” ITS Projects Book, January 2002, http://www.itsdocs.fhwa.dot.gov//JPODOCS/REPTS_TE/13631/pcp-02.html.

·          Harris County OEM, “Flood Alert System Web Site,” http://www.hcoem.org/flood_alert_system.htm.

·          “Harris County OEM and TxDOT Road Gages Web Site,” www.hcoem.org/txdot/. 

·          “Houston TranStar Web Site,” http://traffic.tamu.edu/.

·          Texas Transportation Institute, “What’s the Weather Like?,” Texas Transportation Researcher, Volume 38, Number 2, 2002, http://tti.tamu.edu/researcher/v38n2/monitor_roadways.stm.

 

Keyword(s): rain, precipitation, flooding, ice, wind, environmental monitoring system, freeway management, traffic management, emergency management, decision support, institutional issues, traveler information, weather information, advisory strategy, control strategy, environmental sensor station (ESS), closed circuit television (CCTV), dynamic message sign (DMS), highway advisory radio (HAR), road weather information system (RWIS), internet/web site, safety, productivity

 


Utah DOT Fog Dispersal Operations

 

In northern Utah widespread, super-cooled fog (i.e., less than 32 degrees F) can persist in mountain valleys for weeks.  Utah Department of Transportation (DOT) maintenance personnel use liquid carbon dioxide to disperse fog and improve visibility along segments of Interstates 15, 70, 80, and 84; US Highways 40, 89, and 91; as well as secondary roads in Cache Valley and Bear Lake Valley.  This treatment strategy includes the application of anti-icing chemicals as fog is dispersed to prevent moisture from freezing on the pavement.

 

System Components:  Fog dispersal equipment, comprised of commercially available products, is installed on roughly 70 maintenance vehicles or 15 percent of the fleet.  As shown in Figure 24, each truck is equipped with a compressed gas cylinder, a manual valve assembly, mounting brackets, copper pipe, and a dispensing nozzle.  Each cylinder holds liquid carbon dioxide at a pressure of 2,000 pounds per square inch.

 

Text Box:   Figure 24 – Utah DOT Maintenance Vehicle 
with Fog Dispersal Equipment
System Operations:  Before vehicles leave the maintenance yard for normal patrol duties, the cylinder and valve assembly are attached.  Dispensers are turned on when maintenance vehicles leave the yard and turned off when they return.  As the vehicles travel through super-cooled fog, very small amounts of liquid carbon dioxide are sprayed into the slipstream of the truck. The carbon dioxide quickly evaporates removing heat from water droplets in the fog.  The droplets form ice crystals and precipitate as fine snow or ice.

 

To prevent the precipitate from freezing on the road surface, anti-icing chemicals are simultaneously applied.  If the air temperature is below 20 degrees F (-6.7 degrees C), common road salt is prewetted with liquid magnesium chloride and applied to pavements. Road salt or sodium chloride brine is spread when the air temperature is above 20 degrees F.

 

Transportation Outcome:  The fog dispersal treatment strategy improves roadway mobility and safety.  This strategy can increase visibility distance behind the maintenance vehicle from 33 feet (10 meters) to 1,640 feet (500 meters) in less than 30 minutes.  The treatment remains effective for 30 minutes to 4 hours, depending upon air temperature and wind speed.  Improved visibility has significantly reduced rear-end crashes into maintenance vehicles, enhancing the safety of DOT personnel and the public.

 

Implementation Issues:  In 1990 the DOT’s Research Division sponsored a University of Utah research grant to investigate fog control at a bridge location.  During the study university researchers noticed that a tunnel of clear visibility formed in the fog as carbon dioxide was dispensed.  In 1992 DOT and university researchers developed a prototype with customized hardware components and began the field testing of mobile fog dispersal techniques. The Research Division published field trial results in 1993. 

 

Based upon recommendations in the field trial report and lessons learned from anti-icing operations near Salt Lake International Airport, maintenance personnel configured a truck with fog dispersal equipment composed of commercial-off-the-shelf products.  This configuration was more cost effective than the customized configuration developed by the University, which was prohibitively expensive. 

 

Before fog dispersal equipment was deployed in 2000, the DOT developed a two-hour training course to ensure employee safety when working with compressed liquid carbon dioxide.  Training course topics included oxygen-displacement properties of the chemical, chemical handling techniques, and operation of the high-pressure dispenser.

 

 

Contact(s): 

·          Lynn J. Bernhard, Utah DOT Maintenance Planning Division, Methods Engineer, 801-964-4597, lynnbernhard@utah.gov.

·          Norihiko Fukuta, University of Utah, Department of Meteorology, 801-581-8987, nfukuta@met.utah.edu.

Reference(s):

·          Covington, A., “UDOT Maintenance Crews Are Fighting Fog,” Utah Department of Transportation Press Release, January 2001, www.dot.state.ut.us/public/press_rel/Release%2000/Aug%20-%20Dec/R_283_00.htm.

·          “Utah’s Latest Weapon Against Fog,” Deseret News, December 2000, http://deseretnews.com/dn/print/1,1442,245011048,00.html.

 

Keywords:  fog, visibility, air temperature, wind, fog dispersal operations, freeway management, winter maintenance, treatment strategy, maintenance vehicle, chemicals, anti-icing/deicing, crashes, safety, mobility


Utah DOT Low Visibility Warning System

 

Due to high traffic volumes and local conditions conducive to dense fog formation, the Utah Department of Transportation (DOT) deployed a low visibility warning system on Interstate 215 to notify motorists of safe travel speeds and to promote more uniform traffic flow.  The warning system was installed on a low-lying, two-mile (three-kilometer) highway segment above the Jordan River in Salt Lake City where several multi-vehicle, fog-related crashes have occurred.   In 1988 there was a 66-vehicle crash and in 1991 ten crashes, with three fatalities, occurred on one day.

 

System Components:  Four forward-scatter visibility sensors and six vehicle detection sites are installed on the freeway to collect data on prevailing conditions.  Visibility distance is measured in real-time and inductive loop detectors record the speed, length, and lane of each vehicle.  Through Ultra-High Frequency radio modems these data are transmitted to a central computer system that records field data in a database, processes field data, and posts advisories on two roadside Dynamic Message Signs (DMS). 

 

System Operations:  The central computer identifies threats by using visibility distance, vehicle speed, and vehicle classification data in a weighted average algorithm to determine when conditions warrant motorist warnings.  When visibility distance falls below 820 feet (250 meters), the computer automatically displays a warning on DMS.  Based on stopping sight distances, safe travel speeds are posted on DMS when visibility is less than 656 feet (200 meters).  Messages displayed for various visibility ranges are shown in Table 9.

 

Table 9 – Utah DOT Low Visibility Warning System Messages

Visibility Conditions

Displayed Messages

656 to 820 feet (200 to 250 meters)

Fog Ahead

492 to 656 feet (150 to 200 meters)

“DENSE FOG” alternating with “ADVISE 50 MPH”

328 to 492 feet (100 to 150 meters)

“DENSE FOG” alternating with “ADVISE 40 MPH”

197 to 328 feet (60 to 100 meters)

“DENSE FOG” alternating with “ADVISE 30 MPH”

Less than 197 feet (60 meters)

“DENSE FOG” alternating with “ADVISE 25 MPH”

 

Transportation Outcome:  An evaluation of the warning system indicated that overly cautious drivers sped up when advisory information was displayed, resulting in a 15 percent increase in average speed from 54 to 62 mph (86.8 to 99.7 kph).   This increase caused a 22 percent decrease in speed variance from 9.5 to 7.4 mph (15.3 to 11.9 kph).   Reducing speed variance enhanced mobility and safety by promoting more uniform traffic flow and minimizing the risk of initial, secondary, and multi-vehicle crashes.

 


Implementation Issues: In 1993 DOT researchers responded to a federal solicitation to prototype a low visibility warning system.  The DOT contracted with a consultant in 1994 to design and install the system on Interstate 215 due to recurring fog.  During winter 1995/1996 the DOT collected visibility distance and traffic data before DMS were deployed to assess driver behavior in fog without advisories.  By the end of 1997 field, central, and communication equipment was installed, calibrated, and integrated.  DMS calibration and verification was carried out with the assistance of the Utah Highway Patrol. 

 

The system was operational by winter 1999/2000 and traffic managers began collecting traffic speed data, vehicle classification data, visibility data, as well as displayed messages.  The DOT partnered with the University of Utah to conduct an evaluation of system effectiveness.  The University analyzed traffic speeds by time-of-day, lane and direction, vehicle classification, and visibility distance with data collected over four winter seasons.  Based on positive results, it was recommended that speed and pavement condition data be incorporated into control logic, that the warning system be integrated with the DOT’s Advanced Traffic Management System, and that further evaluation be conducted.  The DOT plans to enhance the system by deploying an Environmental Sensor Station to detect weather and pavement conditions, upgrading the DMS, and replacing the radio communication system with fiber optic cable.

 

 

Contact(s): 

·          Sam Sherman, Utah DOT, ITS Division, 801-965-4438, ssherman@utah.gov

Reference(s):

·          Perrin Jr., J., et al., “Effects of Variable Speed Limit Signs on Driver Behavior During Inclement Weather,” presented at Institute of Transportation Engineers (ITE) Annual Meeting, August 2000.

·          Utah DOT Research News, “Utah’s Fog Warning System - ADVISE,” No. 2000-4, http://www.dot.state.ut.us/res/research/Newsletters/00-4.pdf.

·          Perrin, et al., “Testing the Adverse Visibility Information System Evaluation (ADVISE) – Safer Driving in Fog,” presented at the Transportation Research Board (TRB) Annual Meeting, January 2002.

·          Schreiner, C., “State of the Practice and Review of the Literature: Survey of Fog Countermeasures Planned or in Use by Other States,” Virginia Tech Research Council, pp. 23-24, October 2000.

 

Keywords:  fog, low visibility warning system, freeway management, traffic management, control strategy, speed management, advisory strategy, motorist warning system, traveler information, vehicle detection, dynamic message sign (DMS), driver behavior, safety, mobility


Virginia DOT Weather-Related Incident Detection

 

The Virginia Department of Transportation (DOT) operates an Advanced Traffic Management System (ATMS) to control the highway network in Northern Virginia.  The ATMS includes an Incident Detection subsystem and a Closed Circuit Television (CCTV) subsystem, which are used for traffic and road condition surveillance on 27 miles (43.4 kilometers) of Interstate 66 and nearly 29 miles (46.6 kilometers) of Interstate 395.  Traffic managers are able to modify incident detection parameters based upon observed weather conditions.

 

System Components: The Incident Detection subsystem is comprised of inductive loop detectors, Type 170 controllers housed in roadside cabinets, and a central incident detection computer.  Traffic flow data is collected at over 120 vehicle detection sites installed every half mile (0.8 kilometers) along the freeways.  The CCTV subsystem includes over 50 cameras, video transmission devices, and three monitor walls for display of video images.  Fiber optic cable and coaxial cable communication systems transmit data and video from the field to control computers in the Smart Traffic Center (STC) located in Arlington.

 

System Operations: Incident detection computer software contains statistical algorithms that continuously analyze field data to identify traffic flow disruptions caused by incidents.  Traffic managers may select databases containing detection algorithms for “clear”, “rainy” or “snowy” conditions.  When rain or snow events are observed on the monitor walls traffic managers access the incident detection computer and select the detection database most appropriate for prevailing conditions.  The CCTV subsystem is also used to visually verify detected incidents and support incident management activities. 

 

Transportation Outcome: Use of algorithms tailored to specific weather events improves roadway mobility and safety by facilitating incident detection under non-ideal conditions.  Weather-related incident detection enhances mobility by minimizing response time and traffic delays associated with temporary capacity reductions.  Safety is improved through expedited incident response and clearance, which reduce the risk of secondary crashes.

 

Implementation Issues:  The Virginia DOT contracted with a consulting firm to design, install, and integrate ATMS components and subsystems.  In 1985 system integration and testing efforts were completed and the STC began operating.  The ATMS was expanded in 1999 through the deployment of additional monitoring, control, and communication devices along Interstates 66 and 95. 

 

Hardware and software components in the STC were upgraded in 2000.  The original mainframe computer was replaced with redundant servers.  New operator workstations and video walls were also installed.  In the future, the DOT plans to expand weather-related incident detection capabilities to Interstate 495 (i.e., the Capital Beltway) and plans to integrate the ATMS with research facilities at the University of Virginia.

 

 


Contact(s):

·          Marlowe Dixon, Virginia DOT, 703-383-2601, dixon_mk@vdot.state.va.us.

·          Jimmy Chu, Virginia DOT, 703-383-2621, chu_tf@vdot.state.va.us.

Reference(s):

·          Turochy, R. and Smith, B., “Alternative Approaches in Condition Monitoring in Freeway Management Systems,” Virginia Transportation Research Council, VTRC 02-R8, http://www.virginiadot.org/vtrc/main/online_reports/pdf/02-r8.pdf.

·          Tang, A., “Northern Virginia District (NOVA) Smart Travel Program: Summary of 1999 Activities,” Virginia DOT, December 1999, http://www.virginiadot.org/infoservice/resources/smart-nova-summary-program-act.pdf.

·          Tang, A., “Northern Virginia District (NOVA) Smart Travel Program: Summary Report,” Virginia DOT, December 1999, http://www.virginiadot.org/infoservice/resources/smart-nova-program-plan.pdf. 

 

Keywords:  rain, snow, pavement condition, weather-related incident detection, freeway management, control strategy, incidents, vehicle detection, closed circuit television (CCTV), safety, mobility

 


Washington State DOT Road Weather Information for Travelers

 

The Washington State Department of Transportation (DOT) has collaborated with the University of Washington to provide travelers with comprehensive, integrated road weather information.  The DOT maintains one of the most advanced traveler information web sites, which allows users to access current and predicted road weather conditions on an interactive, statewide map.

 

Text Box:  
Figure 25 – Washington State DOT Route-Specific Road Weather Information Display
System Components:  The DOT owns 50 Environmental Sensor Stations (ESS) that collect air temperature, atmospheric pressure, humidity, wind speed, wind direction, visibility distance, precipitation, pavement temperature and subsurface temperature.  Some stations are equipped with Closed Circuit Television (CCTV) for visual monitoring of pavement and traffic flow conditions.  The DOT is also a member of the Northwest Weather Consortium, which collects and disseminates real time data from an extensive environmental monitoring network.  This network gathers and disseminates data from over 450 ESS owned by nine local, state and federal agencies.  A statewide communication network transmits this ESS data to the Seattle Traffic Management Center (TMC) and to a computer at the University’s Department of Atmospheric Sciences for data fusion and advanced modeling. 

 

Text Box:  
Figure 26 – Washington State DOT
Video of Selected Route with 
Vehicle Restrictions
System Operations:  A sophisticated computer model developed by the university ingests ESS data to determine prevailing and predicted pavement temperatures and generate high-resolution, numerical weather forecasts for the entire state.  Observed environmental data is integrated with other information including National Weather Service (NWS) forecasts, satellite and radar images, video from 350 CCTV cameras, traffic flow data from inductive loop detectors, incident and construction data, ten mountain pass reports, and audio broadcasts from four Highway Advisory Radio (HAR) transmitters.  As shown in Figures 25 and 26, route-specific traveler information is disseminated through the DOT’s Traffic and Weather web site (www.wsdot.wa.gov/traffic) and via an interactive voice response telephone service (800-695-ROAD).

To make travel decisions, the public may access the web site to view state, regional and local maps with environmental observations, weather and pavement condition forecasts, video from freeway CCTV cameras, information on road maintenance operations, and travel restrictions on mountain passes (e.g., reduced speed limits, prohibited vehicle types).

 

Transportation Outcome:  Road weather data available through the web site and telephone service allows users to avoid hazardous conditions, modify driving behavior, and reduce crash risk.  A user survey found that travelers feel safer when they have access to real-time road weather information.  The survey also revealed that users frequently access the web site to prepare for prevailing conditions along a selected route (i.e., 90 percent of respondents), for general weather conditions (i.e., 86 percent), to check weather for a specific recreational activity (i.e., 66 percent), and to determine travel routes or travel time.

 

Usage logs from the web site indicate that travelers access condition data more frequently during adverse weather events.  On average, there were over 3,700 user sessions per day in February 2001.   During a snowstorm on Friday, February 16th (before a three-day weekend) site usage increased to nearly 13,000 user sessions.  The interactive telephone service typically receives one million calls each winter (i.e., an average of 8,000 calls per day) with call volumes increasing during inclement conditions or major incidents.

 

Maintenance managers also benefit from access to detailed road weather data.  This data serves as support for operational decisions, such as resource allocation and treatment planning.  More effective and efficient resource decisions reduce labor, equipment and material costs.  The ability to employ proactive road treatment strategies, such as anti-icing, also improves roadway mobility.

 

Implementation Issues:  The web site project was funded by a grant from U.S. Department of Transportation and a 20 percent match from Washington State DOT.  To collect environmental data for the site, the DOT wanted to procure ESS from different vendors and display field data on a single user interface.  Project managers developed functional specifications and issued a request for proposals to furnish ESS capable of communicating with an existing server using National Transportation Communications for ITS Protocol (NTCIP) standards.  After resolving technical issues related to object definitions, one vendor successfully demonstrated that their sensor stations could communication with another vendor’s server. 

 

This simplified management of environmental data and avoided the need for additional hardware, software and communications infrastructure.  By using the open communication standard the DOT encouraged competition among vendors that reduced ESS procurement costs by nearly 50 percent.  The NTCIP will also facilitate future expansion of the environmental monitoring system.

 

The Washington State DOT has initiated a project to deliver traveler information via 511, the national traveler information telephone number.  The agency is developing a program with natural language speech recognition to read web site data and disseminate tailored information.  The DOT is in negotiation with local cellular telephone companies to offer 511 free of charge.  The toll-free telephone number will be phased out as the 511 implementation project proceeds.

 

 


Contact(s):

·          Larry Senn, Washington State DOT, Olympia Traffic Operations Office, 206-543-6741, larsenn@u.washington.edu.

·          Eldon Jacobson, Washington State DOT, 511 Project Manager, 206-685-3187, eldon@u.washington.edu.

Reference(s): 

·          Boon, C. and Cluett, C., “Road Weather Information Systems (RWIS): Enabling Proactive Maintenance Practices in Washington State,” University of Washington, Washington State Transportation Center (TRAC) and Washington State DOT (WSDOT), Research Report for Project T1803 Task 39, Report No. WA-RD 529.1, March 2002, http://www.wsdot.wa.gov/PPSC/Research/CompleteReports/WARD529_1RWISEval.pdf.

·          Schuman, R. and Sherer, E., “ATIS U.S. Business Models Review,” prepared by PBS&J for the U.S.DOT ITS Joint Program Office, November 2001, http://ops.fhwa.dot.gov/Travel/Atis-bm.htm.

·          Sauer, G., et al, “Analysis of Web-Based WSDOT Traveler Information: Testing Users’ Information Retrieval Strategies,” University of Washington TRAC and Dept of Technical Communication, Final Research Report for Project T2695 Task 15, Report No. WA-RD 552.1, September 2002, http://depts.washington.edu/trac/bulkdisk/pdf/552.1.pdf.

·          Washington State DOT, “rWeather Real-time Statewide Traveler Information Website,” http://www.wsdot.wa.gov/Rweather/about/project.htm.

·          U.S. DOT, “Environmental Monitoring Application Area,” ITS Standards Program Web Site, March 2003, http://www.its-standards.net/AA-Environmental%20Monitoring.htm.

·          U.S. DOT, “Leading the Way: Profile of an Early ESS Deployer,” ITS Standards Program, FHWA-OP-02-014, 2002, http://www.its-standards.net/Documents/Early%20Depl-%20SENN.pdf.

 

Keyword(s): adverse weather, road weather information for travelers, traveler information, advisory strategy, weather information, pavement temperature, environmental sensor station (ESS), closed circuit television (CCTV), Internet/web site, decision support, institutional issues, road weather information system (RWIS), safety, productivity

 


Washington State DOT Speed Management

 

Interstate 90, which is the primary east-west route across Washington State, experiences rain and fog in summer months and snow and ice in the winter.  This freeway crosses the Cascade Mountains through Snoqualmie Pass, which is a popular tourist destination.  Roadway geometry, the volume of truck traffic (i.e., 22 percent), and recreational travelers unfamiliar with local conditions contributed to a winter crash rate that was four times the annual average.  The Washington State Department of Transportation (DOT) employs a speed management technique on a 40-mile (64-kilometer) segment of the freeway to improve roadway safety in the presence of fog, snow, and ice.

 

Text Box:  
Figure 27 – Washington State DOT 
Reduced Speed Limit on DMS
System Components:  The speed management system is comprised of six Environmental Sensor Stations (ESS), 22 radar vehicle detectors, Remote Processing Units (RPUs) housed in roadside cabinets, 13 Dynamic Message Signs (DMS), Variable Speed Limit (VSL) signs, a central control system, as well as digital radio and microwave communication systems.  The ESS are installed along the interstate to detect air temperature and humidity, precipitation, wind speed, pavement temperature and condition (e.g., dry, wet, icy), and pavement chemical concentration.  ESS data and vehicle speed data are collected by RPUs and transmitted to a control computer in the maintenance office located in Hyak.  Advisory messages and reduced speed limits are posted on the DMS and VSL signs, as shown in Figure 27. 

 

System Operations: The central control computer provides decision support by utilizing software algorithms to process field data, calculate safe speeds, and suggest speed limit reductions during adverse conditions.  If system operators agree with the recommendations DMS and VSL signs are activated to display road weather advisories, reduced speed limits, and the reasons for lower speeds.  The control computer allows system operators to modify speed limits by direction and by road section.  DMS may also be used to alert drivers of roadway closures necessitated by winter maintenance and avalanche control activities. 

 

When warranted, the speed limit is reduced in 10-mph (16-kph) increments from 65 mph (104.5 kph) to 35 mph (56.3 kph) based upon prevailing road, weather, and traffic conditions.  Vehicle equipment (e.g., tire chains) may be regulated to improve vehicle traction.  Control strategies for various road weather conditions are shown in Table 10. 

 


Table 10 – Washington State DOT Speed Management Control Strategies

Weather

Conditions

Pavement Conditions

Control
Strategies

·          Light to moderate rain

·          Visibility distance greater than 0.5 mi. (0.80 km)

·          Dry

·          Wet

Speed limit at 65 mph (104.5 kph)

No tire regulations

·          Heavy rain

·          Fog

·          Visibility distance less than 0.2 mi. (0.32 km)

·          Slushy

·          Icy

Speed limit reduced to 55 mph (88.4 kph)

Traction tires advised

·          Heavy rain or snow

·          Blowing snow

·          Visibility distance less than 0.1 mi. (0.16 km)

·          Shallow standing water

·          Compacted snow/ice

·          Deep slush

Speed limit reduced to 45 mph (72.4 kph)

Traction tires required

·          Freezing rain

·          Heavy rain or snow

·          Blowing snow

·          Visibility distance less than 0.1 mi. (0.16 km)

·          Deep standing water

·          Deep snow/slush

Speed limit reduced to 35 mph (56.3 kph)

Tire chains required

 

Transportation Outcome: Speed management has improved roadway safety by prompting drivers to significantly decrease speed in inclement conditions.  A University of Washington study found that although speed variance increased slightly, speed management reduced average speed by up to 13 percent. 

 

Implementation Issues:  An examination of historical crash statistics determined that the winter crash rate was significantly higher than the annual average.  Crash frequency in the presence of snow was five times the rate under clear conditions.  The crash rate in January was 12 times higher that the July crash rate.  High travel speeds and speed variance were found to contribute to winter crashes, which were primarily rear-end, sideswipe, and run-off-the-road type.  Based upon these findings, the Washington State DOT decided to employ speed management to enhance roadway safety under low visibility or slippery pavement conditions.

 

The DOT hired a consultant to provide design, integration, and support services for system components.  The DOT selected field equipment locations, designed sign support structures, assessed communication system options, and purchased DMS hardware.  The DOT’s Radio Operations department considered the licensing, installation, and maintenance issues associated with telephone, radio, microwave, and satellite communications technologies.  The cost of installing 40 miles (64 kilometers) of telephone cable through the mountainous terrain of the Snoqualmie Pass was prohibitive.  High costs and topography also precluded utilization of satellite communications.  Thus, multiple microwave and radio communication links were designed to transmit data from the roadway to the mountaintop and from the mountaintop to the Hyak maintenance office.  The DOT chose a DMS with light-emitting diode technology for high visibility in adverse weather conditions and procured the signs under a separate contract to ensure that performance criteria were met.

 

After system components were deployed in winter 1997, the Washington State DOT established policies and procedures to guide system operation.  Traffic managers, system operators, maintenance personnel, state police, and others involved with the system were consulted during development of these policies. Policies and procedures covered staffing and training requirements, the reporting structure, message sets, and various response scenarios. 

 

Contact(s):

·          Larry Senn, Washington State DOT, Olympia Traffic Operations Office, 206-543-6741, larsenn@u.washington.edu.

Reference(s): 

·          Booz-Allen & Hamilton, “Compendium of Field Operational Test Executive Summaries,” http://ntl.bts.gov/lib/jpodocs/redirect/repts_pr/32301!.pdf.

·          Jasper, K., “Cross-Cutting Study of Advanced Rural Transportation System ITS Field Operational Tests,” Booz-Allen & Hamilton, presented at the 1998 Transportation Conference, http://www.ctre.iastate.edu/pubs/crossroads/245cross.pdf.

·          Robinson, M., et al, “Safety Applications of ITS in Rural Areas,” prepared by Science Applications International Corporation (SAIC) for FHWA, September 2002, http://www.itsdocs.fhwa.dot.gov//JPODOCS/REPTS_TE//13609.html.

·          Science Applications International Corporation (SAIC), “Examples of Variable Speed Limit Applications,” presented at the Transportation Research Board (TRB) Annual Meeting, January 2000, http://safety.fhwa.dot.gov/fourthlevel/ppt/vslexamples.ppt.

·          Senn, L., ”Variable Speed Limit And In-Vehicle Signing Operational Test,” Washington State DOT, http://www.wsdot.wa.gov/eesc/atb/atb/html/TA.html.

·          Senn, L. and Bjorge, E., ”ITS Field Operational Test Contracting: Avoiding Surprises,” Washington State DOT, http://www.wsdot.wa.gov/eesc/atb/atb/html/ITSA.html.

·          Ulfarsson, G., et al, “TRAVELAID,” Final Report, prepared by Washington State Transportation Center (TRAC) in cooperation with Washington State DOT, December 2001, http://www.itsdocs.fhwa.dot.gov//jpodocs/repts_te//13610.html.

·          Ulfarsson, G., et al, “Summary: TRAVELAID,” Summary Report, prepared by Washington State TRAC in cooperation with Washington State DOT, February 2002, www.wsdot.wa.gov/ppsc/research/CompleteReports/WARD511_2TravelAidSummary.pdf. 

·          Ulfarsson, G., et al, “The Effect of Variable Message Signs on the Relationship between Mean Speeds and Speed Deviations,” prepared by Washington State TRAC in cooperation with Washington State DOT, presented at the Transportation Research Board (TRB) Annual Meeting, July 2001.

 

Keywords:  fog, visibility, snow, ice, winter storm, speed management, freeway management, traffic management, traffic control, law enforcement, access control, control strategy, motorist warning system, traveler information, advisory strategy, decision support, high-profile vehicles, vehicle detection, environmental sensor station (ESS), pavement condition, dynamic message sign (DMS), variable speed limit (VSL), driver behavior, speed, crashes, safety


Wyoming DOT Avalanche Warning System

 

US Highway 189 near Jackson, Wyoming is a steep, mountain road that winds through Hoback Canyon (see Figure 28).  Along the highway, there is an avalanche path with a 35-degree slope that poses a threat to the traveling public and to Wyoming Department of Transportation (DOT) personnel engaged in snow and ice control activities.  In the past, maintenance personnel have been caught in avalanches while clearing snow and debris from a prior slide.  The DOT has deployed a warning system on the highway to detect avalanches, warn approaching motorists, and alert maintenance personnel working in the area.

 

Text Box:  
Figure 28 – Wyoming DOT
Avalanche Warning System Location
System Components:  The avalanche warning system is comprised of a sensor assembly, a radio communication system, a controller, two static warning signs equipped with flashing beacons, and audible alarms in maintenance vehicles.  The sensor assembly includes tilt switch sensors enclosed in galvanized steel pipes.  The pipes are hung on weighted wire ropes attached to a ¾-inch (19-mm) diameter cable, which is strung across the slide path. The cable is suspended roughly 8 feet (2.5 meters) above the ground and anchored to steel posts embedded in concrete.  The sensor assembly is installed 980 feet (298.7 meters) above the roadway.  

 

The controller monitors sensor status, records sensor data, and activates warning systems via radio when the onset of an avalanche is detected.  The roadside warning signs are located 1,300 feet (396.2 meters) in advance of the affected highway segment.  Batteries with solar panel chargers supply power to all field sensors, control devices, and communications hardware.  Portable alarm devices are placed in maintenance vehicles—primarily rotary snowplows and front-end loaders—operating in the area. 

 

System Operations: Controller software is programmed to continuously monitor the sensor assembly and detect switch closure based upon established threshold values.  When an avalanche is detected, warning devices are instantly activated.  Tilt switches within the steel pipes pivot from vertical to horizontal positions when impacted by a slide causing a circuit to close.  The controller automatically prompts a radio to transmit a modulated tone to activate beacons atop motorists warning signs and to sound 97-decibel sirens in maintenance vehicles.  The audible alert gives maintenance personnel about ten seconds to move out of the slide path. 

 

Transportation Outcome: The avalanche warning system improves roadway safety by minimizing risks to drivers and to maintenance personnel.  The system also facilitates timely inspection of the roadway after an avalanche, snow and debris removal activities, and road closure or rescue operations. 

 


Implementation Issues:  The warning system project was initiated as a multi-state, pooled fund study involving Colorado, Idaho, Utah, Washington State, and Wyoming.  After developing equipment requirements, designers of the Wyoming system decided where the sensor assembly should be installed based upon starting zones and slide speeds of prior avalanches.  If sensors were located too far above the highway, the system could initiate warnings for avalanches that did not reach the road.   If placed too close to the road, there would not be sufficient time for the system to warn those in danger.

 

Designers considered system expandability through the integration of new components.  A preliminary test of non-invasive avalanche sensors is underway.  Two geophones, which measure ground motion, were installed adjacent to the slide path roughly 98 and 197 feet (30 and 60 meters) below the tilt switch sensor assembly.  When the tilt switch sensors are activated, the controller simultaneously samples the geophones.  By detecting the time lag in the arrival of an avalanche waveform, the controller can distinguish avalanches from other events and determine slide velocity.  Further experimentation is necessary to establish criteria for warning system activation.

 

In a coordinated effort, local winter maintenance managers and emergency managers plan to examine hardware and communication interface reliability, document system operation, and assess roadway impacts.  Evaluation results will be used to optimize the system and supplement training. 

 

 

Contact(s):

·          Leroy “Ted” Wells, Wyoming DOT District 3, 307-352-3000, leroy.wells@dot.state.wy.us.

·          Rand Decker, University of Utah, 801-581-3403, rdecker@civil.utah.edu.

Reference(s):

·          Rice, Jr., R., et al, “Avalanche Hazard Reduction for Transportation Corridors Using Real-Time Detection and Alarms”, http://www.sicop.net/annals-paper%20total.pdf. 

·          Rice, Jr., R., and Decker, R., “A Rural Intelligent Transportation System for Snow Avalanche Detection and Warning,” Transportation Research Record, No. 1700, p. 17-23, 2000.

·          Thirumalai, K., “Rural ITS Applications for Snow Maintenance and Winter Hazard Mitigation”, presented at the 5th World Congress, http://152.99.129.29/cdrom/1006.pdf.

 

Keywords:  snow, avalanche warning system, freeway management, winter maintenance, advisory strategy, traveler information, motorist warning, maintenance vehicle, safety

 

 


Environmental Sensor Technologies

 

This appendix presents an overview of environmental sensor technologies including fixed environmental sensor stations (ESS), mobile sensing devices, and remote sensing systems.  The conclusion summarizes weather impacts on roads, traffic, and operational decisions and discusses ESS implementation issues, such as data sharing and institutional coordination.

 

Transportation managers must access data on environmental conditions to effectively and efficiently mitigate weather impacts on traffic operations.  This data serves as decision support to managers, who disseminate relevant road weather information to the public.  There are many operational applications for environmental data.  Environmental data may be integrated into automated motorist warning systems, road weather information systems (RWIS), advanced traffic management systems (ATMS), emergency management systems (EMS), and advanced traveler information systems (ATIS) as depicted in Figure 29.  This information may also be used to enhance forecasts and supplement mesoscale environmental monitoring networks (i.e., mesonets).

 

Text Box:   Figure 29 – ESS Operational ApplicationsWinter maintenance managers utilize road weather information to assess the nature and magnitude of threats, make staffing decisions, plan treatment strategies, minimize costs (i.e., labor, equipment, materials), and assess the effectiveness of treatment activities (by agency staff or subcontractors). Traffic managers may access road weather data to control traffic flow and warn motorists.  Based upon prevailing or predicted conditions, managers may alter traffic signal timing parameters, modify incident detection algorithms, vary speed limits, and restrict access to designated routes, lanes or vehicle types (e.g., tractor-trailers). Some Traffic Management Centers utilize ATMS that integrate weather data with traffic monitoring and control software.  Emergency managers may employ decision support systems that integrate weather observations and forecasts with population data, topographic data, as well as road network and traffic data.  When faced with flooding, tornadoes, hurricanes, or wild fires; emergency managers may use this data to evacuate vulnerable residents, close threatened roadways and bridges, and disseminate information to the public. 

 

Transportation managers disseminate road weather information to motorists in order to influence their travel decisions.  This allows travelers to make choices about travel mode, departure time, route selection, vehicle type and equipment, and driving behavior.  Road weather advisories and regulations may be furnished via roadway warning systems, interactive telephone systems, web sites, kiosks, and media broadcasts.


Environmental Sensor Stations (ESS)

 

An ESS is a fixed roadway location with one or more sensors measuring atmospheric, surface (i.e., pavement and soil), and/or hydrologic (i.e., water level) conditions. These stations are typically deployed as field components of RWIS.  Data collected from environmental sensors in the field are stored onsite in a Remote Processing Unit (RPU) located in a cabinet.  In addition to the RPU, cabinets typically house power supply and battery back-up devices. The RPU transmits environmental data to a central location via a communication system.  Central RWIS hardware and software collect field data from numerous ESS, process data to support various operational applications, and display or disseminate road weather data in a format that can be easily interpreted by a user. 

 

Atmospheric Sensors

Atmospheric sensors measure various weather conditions including air temperature, barometric pressure, relative humidity, wind speed and direction, precipitation, visibility distance, and cloud cover (an indication of solar radiation).  Air temperature can be measured with liquid, gas or electrical thermometers. Electrical thermometers, which are normally used in automated sensor stations, contain metal wires that exhibit increased resistance to electrical current as the temperature rises.  Platinum and copper are commonly utilized due to a nearly linear relationship between resistance of these materials and temperature.   Electrical thermometers, also known as resistance thermometers and thermoelectric thermometers, provide accurate readings over a wide range of temperatures. 

 

Mercury and aneroid barometers are employed to detect atmospheric pressure or the pressure due to the force of gravity on air molecules in a column of air.  Because they are more accurate than mercury barometers, aneroid barometers are typically used in meteorological applications.  An aneroid barometer contains an aneroid cell—a sealed, flexible metal box or pair of thin circular disks—that expands or contracts as atmospheric pressure changes.

 

Text Box:  
Wind Vane



 
Propeller Anemometer


Relative humidity—a measure of air’s water vapor content—can be measured by three types of hygrometers.  Dew-point, capacitor, and electrical hygrometers detect humidity by sensing changes in a substance caused by moisture.   A dew-point hygrometer ascertains humidity by cooling a mirror until condensation forms.  The temperature at which condensation forms can be used to calculate humidity, given the prevailing temperature and pressure.  Capacitor hygrometers measure the capacitance of a material, such as polymer film, which varies as humidity changes.  Electrical hygrometers accurately detect resistance to electrical current in a material, which changes with humidity.  These devices typically contain a carbon-coated plastic strip that absorbs moisture from the air.  As humidity rises or falls, changes in the resistance of the carbon coating can be ascertained.

 

Wind vanes are employed to determine the direction from which wind is blowing.  A conventional wind vane, shown in Figure 30, indicates wind direction with a tail fin mounted on a horizontal shaft that is attached to a vertical axis.  The tail causes the wind vane to rotate in the horizontal plane.  Wind speed is typically measured by anemometers with propellers or cups.  A vane-oriented propeller anemometer uses two to four blades, which rotate about a horizontal shaft, and a vane attached to the shaft to indicate direction (see Figure 31). 


Rotating cup anemometers have three to six hemispherical cups that revolve around a vertical axis, as depicted in Figure 32.  Speed is calculated based upon the rotation rate of propeller blades or cups.  Wind speed can also be determined with non-mechanical sensors, such as hot wire and sonic anemometers.  Hot wire anemometers ascertain the degree of cooling of a heated metal wire, which is a function of air speed.  Shown in Figure 33, a sonic anemometer gauges wind speeds based upon properties of wind-borne sound waves.

 

Precipitation measurements are made with rain gauges that sense precipitation type, measure the amount and rate of rainfall (or the liquid equivalent of snow or sleet), as well as determine the start and end times of a precipitation event.  Tipping bucket rain gauges and weighing rain gauges are commonly used in ESS.  In tipping bucket gauges, a cylinder collects and funnels rainfall into a small bucket that holds 0.01 inches (0.30 mm) of water.  In climates with frequent snowfall, the bucket is heated and equipped with a wind shield (as shown in Figure 34).  When it is full, the bucket tips and empties the water while another bucket is lifted into position under the funnel.  Every time a bucket tips an electrical contact is closed sending a signal to a recorder.  Weighing rain gauges are capable of measuring all types of precipitation without heaters.  Precipitation is funneled into a bucket that is weighted to assess amounts.  These gauges require more maintenance than tipping bucket gauges. Float-type rain gauges use a float on the water surface to measure the amount liquid precipitation.  Rain-intensity gauges or rate-of-rainfall gauges measure the instantaneous rate at which rain falls onto a surface.

 

Text Box:  
Figure 34 – Heated Tipping
Bucket Rain Gauge
Text Box:  
Figure 32 – Cup Anemometer



 
Figure 33 – Sonic Anemometer
Visibility can be reduced by various weather phenomena including fog, heavy precipitation, drifting snow, and wind-blown dust.  Visibility distance can be measured directly with sensors or remotely via Closed Circuit Television (CCTV) cameras.  Objects suspended in the air—such as minute water droplets forming fog—scatter energy.  Visibility sensors detect the amount of scattered light to compute visibility distances.  As shown in
Figure 35, a forward-scatter visibility sensor has a projector that emits a pulsed flash of light in a cone-shaped beam.   A detector is positioned 33 to 70 degrees from the projector axis, such that the beam does not fall directly on the detector lens.  Thus, the detector senses only the light scattered by fog or dust.  Backward-scatter visibility sensors have aligned projectors and detectors and operate in a manner similar to forward-scatter sensors.  Visibility distance can also be discerned by aiming a CCTV camera at objects at known distances, such as roadside signs with flashing beacons. 

Text Box:  
Figure 35 – Forward-Scatter Visibility Sensor

Surface Sensors  

 

Surface sensors measure pavement conditions (e.g., temperature, dry, wet, ice, freeze point, chemical concentration), and subsurface or soil conditions.  There are two basic types of surface sensors; active and passive.  Active sensors generate and emit a signal and measure the radiation reflected by a targeted surface.  Passive sensors detect energy radiating from an external source.  Passive pavement temperature sensors are normally buried in the road surface.  These sensors are designed with thermal properties similar to pavement so that they are heated and cooled at the same rate.

 

Text Box:  
Figure 36 – Pavement Sensor
Pavement condition can be monitored with sensors embedded in road surfaces, friction measuring devices, cameras, and microphones.  As shown in Figure  36, embedded sensors typically distinguish between two or three pavement states (e.g., dry or wet).  The surface of an active pavement condition sensor is cooled below ambient air temperature.  If pavement moisture is present, dew or frost will form on the cooled surface.  This type of sensor can also be used to assess the effectiveness of road treatment chemicals and determine the temperature at which pavement moisture will freeze.  Another type of pavement condition sensor emits microwaves from an overhead transmitter.  If moisture is present on the pavement, microwaves reflect off of the water surface and the road surface.  A receiver detects the pattern created by the reflections to compute the thickness and salinity of a film of water.

 

Friction measurement devices assess the pavement coefficient and classify conditions based upon assigned ranges of values.  Video signals from CCTV cameras and audio signals recorded by microphones can also be analyzed to distinguish differences in pavement appearance or tire sounds caused by water, snow, or ice.       Subsurface conditions (e.g., soil temperature, soil moisture, freeze/thaw cycles) may be detected with a soil thermometer or geothermometer, which measures values at various depths.  These conditions characterize the transfer of heat between the soil and the pavement.

Text Box:  
Figure 37 – Stilling Well
Hydrologic Sensors

Various hydrologic sensors detect water levels in streams and rivers, and tide levels to assess flood and storm surge hazards.  Ultrasonic water level sensors make use of acoustics or sound waves to measure the distance from a transducer to the water surface.  Stilling wells contain float sensors to measure water levels (see Figure 37).  The float is typically enclosed in a pipe or cylinder, which protects the sensor and allows the free movement of water.  Tide gauges may be used to measure storm surge caused by a tropical storm.  These gauges operate in a manner similar to stilling wells to measure the height of tide. 

 

Mobile Sensing   

 

Mobile sensing involves the integration of environmental sensors with vehicle systems.  In combination with global positioning system (GPS) technologies, truck-mounted sensor systems can be utilized to sense pavement conditions (e.g., temperature, friction) and atmospheric conditions (e.g., air temperature).  Transportation agencies in Iowa, Michigan and Minnesota have partnered to deploy and evaluate advanced maintenance vehicles equipped with mobile sensors.

 

Pavement friction coefficient can be assessed with deceleration devices, locked wheels, and variable slip systems.  Deceleration devices measure a signal generated by a strain gauge when a vehicle brakes.  The signal, which is proportional to the deceleration rate, is used to compute the friction coefficient.  Friction can also be determined by a locked wheel that is towed behind a vehicle traveling at 30 to 40 mph (49 to 64 kph).  Brakes are applied to lock the wheel for one second while the resistive drag force is measured.  Variable slip systems calculate pavement friction as a function of the degree of slip between a tire and the road.  A friction meter being tested by the partners is shown in Figure 38. 

 

Text Box:  
Figure 38 – Friction Meter
Mounted on Snowplow

The friction meter is mounted on the frame of a maintenance vehicle and contains a variable slip wheel with an electric brake.  The wheel speed is measured as the brake is applied and released by a computerized control system. This rotational speed is used to calculate torque, which is converted into a friction coefficient value. The control system displays friction levels to the driver in five color-coded categories (i.e., “Hazardous,” “Very Slippery,” “Slippery,” “Acceptable,” and “Good”).

 

The automotive industry has introduced traction control systems and anti-lock braking systems that can also be employed for mobile pavement friction measurement.  Traction control systems can detect traction of vehicle wheels as they rotate.  While, anti-lock braking systems only operate during braking, resulting in fewer measurements.

Text Box:  
Figure 39 – Freeze Point
Temperature Sensor
Agencies in Iowa, Michigan and Minnesota are also evaluating mobile sensors to determine pavement freeze point temperature.  The freeze point sensor is composed of a receptacle that collects liquid from tire spray, as shown in Figure 39.  A computer system closes the receptacle lid, calculates the freeze point of the liquid, and blows air over the sensor to prepare for the next measurement cycle. Additional research is needed due to the complexities of mobile pavement condition sensing.   Researchers in the U.S., Europe, and Japan are currently prototyping and evaluating various devices that ascertain pavement conditions.

 

Remote Sensing

 

In remote sensing, a detector is located at a significant distance from a target.  The sensor is typically part of a radar or satellite system used for surveillance of meteorological and oceanographic conditions.  Images and observations from remote sensors are used for weather monitoring and forecasting from local to global scales.  Remote sensing is used for quantitatively measuring atmospheric temperature and wind patterns, monitoring advancing fronts and storms (e.g., hurricanes, blizzards), imaging of water (i.e., oceans, lakes, rivers, soil moisture, vapor in the air, clouds, snow cover), as well as estimating runoff and flood potential from thawing.

 

Water in its gaseous state (or water vapor) is essential in the development and propagation of weather.  Water vapor has historically been a poorly characterized meteorological variable because its distribution fluctuates widely (both spatially and temporally) and it is difficult to measure using traditional atmospheric observing systems.  The Federal Highway Administration (FHWA) has collaborated with the National Oceanic and Atmospheric Administration (NOAA), the National Geodetic Survey/Continuously Operating Reference Station (NGS/CORS), and the Coast Guard to develop a Nationwide Differential Global Positioning System (NDGPS)  capable of observing precipitable water vapor. 

 

The NDGPS is comprised of systems that measure satellite signal delays caused by atmospheric vapor.  Twenty-four GPS satellites in Earth’s orbit emit radio signals to ground instruments, which accurately compute precipitable water vapor data every 30 minutes.  NDGPS is more precise than the civilian GPS system, known as the standard positioning service, providing three-foot (one-meter) accuracy.  This high accuracy is expected to improve to 0.8 to 8.0 inches (2 to 20 centimeters) in the near future.  The NDGPS data—available on the project web site, www.gpsmet.noaa.gov/jsp/index.jsp—has been used to improve the accuracy of short-term, precipitation forecasts disseminated by the National Weather Service (NWS).

 

 


Conclusion

 

Weather acts through visibility impairments, precipitation, high winds, and temperature extremes to affect driver capabilities, vehicle performance (i.e., traction, stability and maneuverability), pavement friction, and roadway infrastructure.  Fixed ESS, mobile sensors, and remote sensing systems can provide valuable data that can be used to improve roadway safety, maintain roadway mobility, enhance agency productivity, and facilitate dissemination of traveler information to the public.  Table 11 summarizes the impacts of various weather events on roadways, traffic flow, and operational decisions.

 

Table 11 – Weather Impacts on Roads, Traffic and Operational Decisions

Road Weather Variables

Roadway

Impacts

Traffic Flow

Impacts

Operational

Impacts

Air temperature and humidity

N/A

N/A

·         Road treatment strategy      (e.g., snow and ice control)

Wind speed

·         Visibility distance (due to blowing snow, dust)

·         Lane obstruction (due to wind-blown snow, debris)

·         Traffic speed

·         Travel time delay

·         Accident risk

·         Vehicle performance           (e.g., stability)

·         Access control (e.g., restrict vehicle type, close road)

·         Evacuation decision support

Precipitation

(type, rate,     start/end times)

·         Visibility distance

·         Pavement friction

·         Lane obstruction

·         Roadway capacity

·         Traffic speed

·         Travel time delay

·         Accident risk

·         Vehicle performance          (e.g., traction)

·         Driver capabilities/behavior

·         Road treatment strategy  

·         Traffic signal timing

·         Speed limit control

·         Evacuation decision support

·         Institutional coordination

Fog

·         Visibility distance

·         Traffic speed

·         Speed variance

·         Travel time delay

·         Accident risk

·         Driver capabilities/behavior

·         Road treatment strategy

·         Access control

·         Speed limit control

Pavement temperature

·         Infrastructure damage

N/A

·         Road treatment strategy

Pavement condition

·         Pavement friction

·         Infrastructure damage

·         Roadway capacity

·         Traffic speed

·         Travel time delay

·         Accident risk

·         Vehicle performance

·         Driver capabilities/behavior (e.g., route choice)

·         Road treatment strategy

·         Traffic signal timing

·         Speed limit control

Water level

·         Lane submersion

·         Traffic speed

·         Travel time delay

·         Accident risk

·         Access control

·         Evacuation decision support

·         Institutional coordination

 


Several issues must be considered when planning to deploy ESS and implement RWIS.  Concerns include procurement and maintenance, data sharing, and institutional issues.  Partnerships with neighboring public agencies and the private sector can facilitate data sharing and help defray the initial and recurring costs of field sensors, communications infrastructure, central hardware, and processing software.  Another alternative is to fund RWIS component installation as part of larger construction or Intelligent Transportation Systems (ITS) projects.  Preventive maintenance funds must also be secured to ensure that sensors are properly calibrated and provide accurate data.

 

Exchanging environmental data and information with other agencies can minimize surveillance costs.  Environmental monitoring networks can be created to collect and integrate data from many sources, store relevant data in centralized databases, and disseminate information in useful formats.  Potential data sources include surface weather observation systems deployed by the NWS, the Federal Aviation Administration, the U.S. Geological Survey, the Department of Agriculture, the Forest Service, and the Environmental Protection Agency.  The need for redundant infrastructure can be eliminated by coordinating with other agencies. 

 

Because environmental sensors are available from various vendors in numerous configurations, technological compatibility and communications standards must be considered in joint efforts.  The U.S. DOT promotes interoperable systems through the ITS Standards Program, which develops standards detailing how various systems are interconnected within the framework of the National ITS Architecture.  The National Transportation Communications for ITS Protocol (NTCIP) is a set of standards that facilitate interoperability of roadside devices made by different vendors.  The NTCIP includes object definitions for ESS, which were initially published in October 1998 and amended in January 2001.  The object definitions document (i.e., NTCIP 1204)—which  describes data collected from weather, pavement, and air quality sensors—can be used to integrate disparate field devices into a central system with common data sets and communications protocols.  Release of version two of the ESS object definitions document is expected in June 2004. 

 

In 2005, another document (i.e., NTCIP 1301) describing message sets for disseminating road weather information to managers and travelers will be released.  The NTCIP ESS standard has been successfully tested in Minnesota and Washington State.  Additional information about ESS standards can be found on the ITS Standards Program web site (www.its-standards.net/Documents/ess_advisory.htm) and the Road Weather Management Program web site (ops.fhwa.dot.gov/weather/publications/ rwis_brochure.pdf). 

 

Another major institutional issue is system acceptance.  Potential benefits from ESS and RWIS deployments will not be realized if transportation managers do not use them.  The organizational culture, decision-making processes, and technical capabilities of users must be carefully considered during design and implementation.  All users desire “timely, relevant, accurate” road weather information.  However, these criteria may be defined differently depending on the operational application.  For example, a maintenance manager may consider a 24-hour precipitation forecast “timely” for treatment strategy planning, while a traffic manager needs real-time snow accumulation data to adjust traffic signal timing parameters.  “Relevant” environmental data is presented to the user in a format that is easily interpreted and suitable for decision support.  Software programs must be developed to customize raw data (such as soil temperature) into useful information (such as a pavement temperature forecast based upon air and soil temperatures).  Managers have various technological options depending on their weather information needs, operational procedures, and mitigation strategies. 


References

·          Al-Qadi, et al, “Feasibility of Using Friction Indicators to Improve Winter Maintenance Operations and Mobility,” National Cooperative Highway Research Program, Transportation Research Board, http://gulliver.trb.org/publications/nchrp/nchrp_w53.pdf.

·          Arnold, J., “New Applications Make NDGPS More Pervasive,” Turner-Fairbank Highway Research Center, FHWA, January/February 2001, http://www.tfhrc.gov/pubrds/janfeb01/newapps.htm

·          Castle Rock Consultants, “Environmental Sensor Systems for Safe Traffic Operations,” prepared for the FHWA Turner-Fairbank Highway Research Center, FHWA-RD-95-073, October 1995.

·          Castle Rock Consultants, “Review of the Institutional Issues relating to Road Weather Information System (RWIS),” August 1998, http://www.aurora-program.org/pdf/inst_issues.pdf.

·          Center for Transportation Research and Education, “Highway Maintenance Concept Vehicle, Final Report: Phase Four,” Iowa State University, June 2002, http://www.ctre.iastate.edu/reports/Concept4.pdf.

·          Center for Transportation Research and Education, “Winter Maintenance for the New Millennium,” Iowa State University, October 1998, http://www.ctre.iastate.edu/Research/conceptv/focus.htm.

·          FHWA, “An Introduction to Standards for Road Weather Information System (RWIS),” July 2002, Road Weather Management Program, http://www.ops.fhwa.dot.gov/weather/Publications/RWIS_brochure.pdf. 

·          FHWA, “Nationwide Differential Global Positioning System Program Fact Sheet,” Turner-Fairbank Highway Research Center, FHWA-RD-02-072, January 2003, http://www.tfhrc.gov/its/ndgps/02072.htm.

·          “Final Report on Signal and Image Processing for Road Condition Classification,” AerotechTelub and Dalarna University, 2002, www.aurora-program.org/pdf/road_sensor_phaseI.pdf.

·          Gutman, S. and Benjamin, S., “The Role of Ground-Based GPS Meteorological Observations in Numerical Weather Prediction,” NOAA Forecast Systems Laboratory, 2001, http://www-frd.fsl.noaa.gov/pub/papers/Gutman2001a/p.pdf. 

·          NASA, “Remote Sensing Tutorial Web Site,” Goddard Space Flight Center, March 2003, http://rst.gsfc.nasa.gov.

·          NWS, “Automated Surface Observing System (ASOS) User’s Guide,” March 1998, http://205.156.54.206/asos/aum-toc.pdf.

·          U.S. DOT, “Environmental Monitoring Application Area,” ITS Standards web site, www.its-standards.net/AA-Environmental%20Monitoring.htm.

·          U.S. DOT, “FHWA Working to Improve Weather Forecasting Using NDGPS,” Research & Technology Transporter, p. 4, October 2001, http://www.tfhrc.gov/trnsptr/oct01/oct01.pdf.

·          WebMET, “Met Monitoring Guide,” the Meteorological Resource Center, www.webmet.com/met_monitorn/toc.html.

 


Acronym List

 

AFWS       Automated Flood Warning System

AASHTO   American Association of State Highway and Transportation Officials

ATIS          Advanced Traveler Information System

ATMS        Advanced Traffic Management System

AVCS        Advanced Vehicle Control System

B/C            Benefit/Cost

BMP          Best Management Practice

CCTV        Closed Circuit Television

CDPD             Cellular Digital Packet Data

CMAQ                                                                          Congestion Mitigation and Air Quality

DMS          Dynamic Message Sign

DOT          Department of Transportation

DPS                                                                                           Department of Public Safety

DSL           Digital Subscriber Line

DSS          Decision Support System

EOC          Emergency Operations Center

ESS           Environmental Sensor Station

FHWA       Federal Highway Administration

GPS          Global Positioning System

HAR           Highway Advisory Radio

HAZMAT    Hazardous Material

ISP                  Information Service Provider

ITS             Intelligent Transportation System

MMDI         Metropolitan Model Deployment Initiative

NCHRP     National Cooperative Highway Research Program

NWS         National Weather Service

OFCM       Office of the Federal Coordinator for Meteorology

OK-FIRST Oklahoma’s First-response Information Resource System using Telecommunications

OLETS      Oklahoma Law Enforcement Telecommunications System

PC             Personal Computer

PVC           Polyvinyl Chloride

RPU          Remote Processing Unit

RWIS        Road Weather Information System

SCADA      Supervisory Control And Data Acquisition

SHEP        State Highway Emergency Patrol

STC           Smart Traffic Center

TCC          Traffic Control Center

TOC          Traffic Operations Center

TMC          Traffic Management Center

TRIS          Transportation Research Information Services

UHF           Ultra-High Frequency

US             United States

USDOT     United States Department of Transportation

UTCS        Uniform Traffic Control System

VHF           Very High Frequency

VSL           Variable Speed Limit

WAN          Wide Area Network


Online Resources

 

WEB SITE

INTERNET ADDRESS (URL)

FHWA Road Weather Management Program

http://www.ops.fhwa.dot.gov/weather/index.htm

Maintenance Decision Support System (MDSS)

http://www.rap.ucar.edu/projects/rdwx_mdss/index.html

ITS Resource Guide

http://www.its.dot.gov/itsweb/guide.html

ITS America

http://www.itsa.org

Aurora Program

http://www.aurora-program.org/

Enterprise Program

http://www.enterprise.prog.org/

Evacuation Traffic Information System (ETIS)

http://www.fhwaetis.com/etis/

Snow and Ice Cooperative Program (SICOP)

http://www.sicop.net/

Cooperative Program for Operational Meteorology,

Education and Training (COMET)

http://www.comet.ucar.edu/cometprogram.htm

The Office of the Federal Coordinator for                                Meteorology (OFCM)

http://www.ofcm.gov/

American Meteorological Society (AMS)

http://www.ametsoc.org/AMS/

National Weather Service (NWS)

http://www.nws.noaa.gov/

NWS Tropical Prediction Center, National Hurricane Center

http://www.nhc.noaa.gov/

World Road Association (PIARC)

http://www.aipcr.lcpc.fr/index-e.htm

Standing International Road Weather Commission (SIRWEC)

http://www.sirwec.org

Alaska DOT Winter Road Condition Report

http://www.dot.state.ak.us/stwdplng/planresc/road_cond.html

Arizona DOT Highway Condition Reporting System

http://www.azfms.com/HCRSv3/arizona.html

Arkansas State Highway and Transportation Department Weather Related Road Conditions

http://www.ahtd.state.ar.us/road/map.htm

California DOT Highway Information

http://www.dot.ca.gov/hq/roadinfo/

Colorado DOT Road and Weather Information

http://www.cotrip.org/rWeather/All_Regions_031203_075345.html

Delaware DOT Real-Time Travel Advisory

http://www.deldot.net/public.ejs?command=PublicTrafficReportDisplay&location=DE

Idaho Transportation Dept. Road/Weather Integrated Data System

http://164.165.237.41/RWIDS_Public/default.asp

Illinois DOT Statewide Winter Road Conditions

http://www.dot.state.il.us/operations/mo_state.html

Indiana State Police Road Information

http://www.ai.org/isp/roadinfo/weather.html

Iowa State Patrol Winter Road Conditions

http://www.iowaroadconditions.org/

Kansas DOT RWIS Roadway Map and Weather Information

http://kdot1.ksdot.org/public/kdot/burcompser/generatedreports/weather.htm

Kentucky Transportation Cabinet Roadway Weather Information System

http://www.kytc.state.ky.us/RWIS/index.htm

Maine DOT Travel Information Service

http://216.17.172.232/default.asp?display=roadConditions&area=ME_statewide&date=&t

Maryland State Highway Administration Roadway Weather

http://www.chart.state.md.us//mapping/CHARTMap.asp?tab=Emergency

Michigan State Police Weather/Road Conditions

http://www.michigan.gov/msp/0,1607,7-123--19938--,00.html

Minnesota DOT Road Traveler Information Service

http://www.511mn.dot.state.mn.us:8080/MN_TRIP/index.jsp

Mississippi Department of Public Safety Weather/Road Conditions

http://www.dps.state.ms.us/dps/dps.nsf/roadmap?Openform

Missouri DOT Winter Road Conditions

http://www.modot.state.mo.us/roadcond/statemap.htm

Montana DOT Remote Weather Information System

http://www.mdt.state.mt.us/departments/maintenance/rwis/mdtrwis.html

Nebraska Department of Roads Travel and Weather Information

http://www.nebraskatransportation.org

Nevada DOT Road Weather Information System

http://www.nevadadot.com/traveler/rwis/

New Hampshire DOT Traveler Information

http://www.state.nh.us/dot/traveler/weather/weather.htm

New York State DOT Winter Weather Traveler Advisory System

http://www.dot.state.ny.us/travel/

North Carolina DOT Traveler Information Management System

http://apps.dot.state.nc.us/tims/Main.ASP

North Dakota DOT Maintenance Forecasts

http://www.meridian-enviro.com/ndot/

Ohio DOT Road and Weather Information System

http://www.odotonline.org/rwis/default.asp

Oklahoma Department of Public Safety Road Conditions

http://www.dps.state.ok.us/cgi-bin/weathermap.cgi

Oregon DOT Road Conditions

http://www.tripcheck.com/RoadCond/roadcondindex.htm

Pennsylvania DOT Road Weather Information System

http://208.9.196.31/site/site.nsf/mainpage

South Carolina DOT Winter Interstate Conditions

http://www.scdot.org/getting/winterinterstate.asp

South Dakota DOT Winter Road Condition Report

http://www.sddot.com/Operations/Road_Conditions_Report/Index.htm

Tennessee Interstate Highway Conditions

http://www.tdot.state.tn.us/roadconditions/currentmap.asp

Texas DOT Road Reports by Conditions

http://www.dot.state.tx.us/hcr/main.htm

Utah DOT Weather/Road Conditions

http://www.dot.state.ut.us/public/road_conditions.htm

Virginia DOT Road Information and Conditions

http://www.virginiadot.org/comtravel/eoc/eoc-main.asp

Washington State DOT Traffic and Weather Information

http://www.wsdot.wa.gov/traffic

West Virginia DOT Road Conditions for Major Highways

http://www.wvdot.com/14_roadconditions/14_roadcond.cfm

Wisconsin DOT Winter Road Conditions

http://www.dot.wisconsin.gov/travel/road/winter-roads.htm

Wyoming DOT Road Report

http://wyoroad.info/highway/text_road.html

 


Publication Listing

TITLE

ABSTRACT

SOURCE

511 DEPLOYMENT IN RURAL STATE: A CASE STUDY OF MONTANA

Montana's 511 system is scheduled for a winter 2002 deployment.  This rural system is unique in that its focus is on road and weather information and will incorporate a pavement thermal model and a weather model into the 511 system.  Information about mountain passes will be included and both travelers and maintenance crews will utilize the system, which will cover 8,200 miles of interstate and primary roadways in Montana.  This paper will focus on the deployment of 511 from the perspective of a rural state including project stakeholders, system content, data collection methods, and the marketing plan.

2002 Joint Meeting of the CAATS and the RATTS, http://www.caats.org/Press%20Releases/CRCD.htm

A BENEFIT/COST ANALYSIS OF INTELLIGENT TRANSPORTATION SYSTEM APPLICATIONS FOR WINTER MAINTENANCE

Washington State DOT assessed the benefits and costs of deploying an automated anti-icing system on a high-accident corridor.

Washington State Department of Transportation, Transportation Research Board 80th Annual Meeting

A CASE STUDY IN HIGHWAY MAINTENANCE MANAGEMENT:  OHIO'S COUNTY WORK PLANS

Over the past three years, ODOT adopted Strategic Initiatives to revamp the department's maintenance management methods, improve practices and optimize resource utilization.  Focused on redefining, prioritizing and tracking all maintenance resources, the department set out to combine planning, implementation, quality review and cost accounting data into one manageable, easily-accessed system.  The product of this intensive effort, the ODOT County Annual Work Plans, is revolutionizing the way the department approaches maintenance management.  Prior to the implementation of the work plans in July of 2001, roadside conditions and maintenance efforts varied widely across the state.  Following the inaugural year of the County Work Plans, conditions are meeting statewide standards, reflecting the state's new focus on more effectively managing Ohio's transportation investment.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

A CORRELATION TECHNIQUE FOR ESTIMATING TRAFFIC SPEED FROM CAMERAS

This paper presents a new algorithm to estimate Speed from roadside cameras in uncongested traffic, congested traffic, favorable weather conditions, and Adverse weather conditions.  Individual vehicle lanes are identified and horizontal vehicle features are emphasized using a gradient operator.  The features are projected into a one-dimensional subspace and transformed into a linear coordinate system using a simple camera model.  A correlation technique is used to summarize the movement of features through a group of images and estimate mean Speed for each lane of vehicles.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

A DECISION SUPPORT SYSTEM FOR SNOW EMERGENCY VEHICLE ROUTING: ALGORITHMS AND APPLICATION

Summarizes results of research to develop a decision support system to assist the Maryland State Highway Administration Office of Maintenance staff design snow emergency routes for Calvert County, MD and achieve improvements in service and savings in operational costs.

Transportation Research Board 80th Annual Meeting, Search TRIS  http://199.79.179.82/sundev/search.cfm

A GUIDE FOR SELECTING ANTI-ICING CHEMICALS, V1.0

The purpose of the guide is to specify the key performance measures that are required from an anti-icing chemical, and suggest ways of grading chemicals according to those performance measures.  It also provides a method whereby an agency can weight these measures according to the specific needs of that agency.

www.anti-ice-guide.com

A LIFE CYCLE COST-BENEFIT MODEL FOR ROAD WEATHER INFORMATION SYSTEMS

Describes a decision tool supporting implementation of RWIS and quantification of costs and benefits.

Transportation Research Board 77th Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

A METHOD FOR RELATING TYPE OF CRASH TO TRAFFIC FLOW CHARACTERISTICS ON URBAN FREEWAYS

A method is developed to determine how crash characteristics are related to traffic flow conditions at the time of occurrence.  Crashes are described in terms of the type and location of the collision, the number of vehicles involved, movements of these vehicles prior to collision, and severity.  A case study using data for more than 1,000 crashes in Southern California identified twenty-one traffic flow regimes for three different ambient conditions: dry roads during daylight, dry roads at night, and wet conditions.  Each of these regimes has a unique profile in terms of the type of crashes that are most likely to occur, and a matching of traffic flow parameters and crash characteristics reveals ways in which congestion affects highway safety.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

A PORTABLE METHOD TO DETERMINE CHLORIDE CONCENTRATION ON ROADWAY PAVEMENTS

Studies have shown that the ability to measure the salt concentration on roadway surface would bring dramatic advances in the effective use of deicers.  Concentration measurement devices currently in use are only for point measurement and are dangerous for field personnel because they require manual on-site measurement.  A new portable concentration system developed in this project is mounted on a truck and enables safer and continuous measurement of salt concentration.

Transportation Research Board 81st Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

A TEMPORAL ANALYSIS OF WEATHER-RELATED COLLISION RISK FOR OTTAWA, CANADA: 1990-1998

This study examines temporal variations in weather-related collision and injury risk using collision and weather data for Ottawa, Canada over the period 1990-1998.  A matched-pair approach was used to define precipitation events and corresponding controls in order to estimate and compare the risk of collision and injury during precipitation relative to normal seasonal conditions for weekdays versus weekends, nighttime versus daytime, peak-period versus other daytime; and early-winter season versus late-winter season.  Results indicate that collision risk increased significantly---by more than 100 percent for rain and approximately 50 percent for winter precipitation events.  Injury risk was also elevated, but to a lesser extent.  Increases in precipitation-related collision risk during the winter were higher on weekends relative to weekdays.  Also, collision risks were especially high during the early part of the winter season.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

ADVANCED COLLISION WARNING SYSTEM FOR THE ROADVIEW SNOWPLOW DRIVER ASSISTANCE SYSTEM

Research program conducted in California and Arizona on Advanced Snowplow with a multi-lane, radar-based Advanced Collision Warning system and a magnetic Lateral Sensing System for use in low visibility conditions.  A visual display provides two-dimensional driver assistance information.

7th World Congress on ITS, University of California - Davis. 

ADVANCED TRAVELER INFORMATION SERVICE (ATIS): WHAT DO ATIS CUSTOMERS WANT?

This is the second of two white papers written for the “ATIS Data Gap” workshop with the objective of providing insights from MMDI Customer Satisfaction ATIS evaluations and other USDOT-sponsored ATIS research. The paper synthesizes findings from research and evaluations dating back to 1996, including several field operational tests.

www.itsdocs.fhwa.dot.gov/\JPODOCS\REPTS_TE/9H801!.PDF

ADVANCED VEHICLE CONTROL SYSTEMS (AVCS) FOR MAINTENANCE VEHICLE APPLICATIONS

Highway maintenance operations most suitable for the application of AVCS are snow removal and work zone following by a shadow vehicle. This study explores opportunities for AVCS-based snow removal and work zone following vehicles. A description of these operations, and their suitability for the application of AVCS is presented. Previous and on-going work related to vehicle automation for these operations is introduced, along with recommendations for the future, based on an assessment of technical feasibility of AVCS and the attitudes of the highway and airport maintenance communities towards this technology.

http://www.itsdocs.fhwa.dot.gov/%5CJPODOCS%5CREPTS_TE/1VW01!.PDF

ADVERSE WEATHER TRAFFIC SIGNAL TIMING

Study conducted for Minnesota DOT to determine the impact of bad weather on a coordinated signal system (three-mile section of Trunk Highway 36 with five signals) and to determine if it would be beneficial to develop timing plans to accommodate adverse weather conditions.

www.trafficware.com/documents/1999/00005.pdf

AN ANALYSIS OF THE WORST COMMUTING DAYS IN WASHINGTON, DC (JUNE 1, 2000 to MAY 31, 2001)

This report explores how much benefit pre-trip traveler information provides on some of the worst commuting days in Washington, DC.  It analyzes the impacts on a commuter who does not utilize traveler information services, and examines what would have happened to his commute if he had made use of a notification-based pre-trip traveler information service on those days.  The worst days were determined as those that had high travel times, travel disutility cost, travel-expenditure, late and early schedule delays, and poor on-time reliability and just-in-time reliability.  When possible, contributing factors that made the days the worst with respect to a particular measure were identified from data on incidents, weather and high-demand.

http://ntl.bts.gov/lib/jpodocs/redirect/REPTS_TE/13782.html

AN APPLICATION OF NEURAL NETWORK ON TRAFFIC SPEED PREDICTION UNDER ADVERSE WEATHER CONDITION

A neural network model for predicting traffic speed under adverse weather conditions is proposed.  One link located in Chicago was chosen and all the data involved was collected from the Internet.  The Back Propagation algorithm was used to train the neural network model for approaching the best prediction results.  The MATLAB software was used to solve this model.  The result has demonstrated that, neural network is an effective tool theory to predict traffic situation if appropriate model architecture and input data are available.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

AN ASSESSMENT OF SELECT METROPOLITAN WASHINGTON PUBLIC SAFETY AND TRANSPORTATION AGENCIES USER NEEDS

Study of integrated information projects within the transportation community nationwide. 

www.capwinproject.com/extras/reports/user_needs_assessment.pdf

AN IMPROVED DISPLACEMENT SNOWPLOW

Describes the research on improving the design of snowplows, as well as design, fabrication and testing of plows incorporating improvements.  The primary goal was to decrease energy consumption during plowing by twenty percent.

http://gulliver.trb.org/publications/shrp/SHRP-H-673.pdf

AN INDEPENDENT EVALUATION OF THE OK-FIRST DECISION-SUPPORT SYSTEM

The Oklahoma Climatological Survey (OCS) implemented a DSS known as OKlahoma's First-response Information Resource System using Telecommunications to provide public safety officials with customized, county-level environmental information within minutes of observation.

http://okfirst.ocs.ou.edu/press/preprints/2envapps/1_11.pdf

AN INTRODUCTION TO STANDARDS FOR ROAD WEATHER INFORMATION SYSTEMS (RWIS)

This brochure describes three categories of standards being considered for RWIS applications:  siting standards, calibration standards, and communication standards.  Note that the term "standard" refers to guidelines, recommended procedures, protocols, and other practices that formalize some of the processes involved in deploying and maintaining RWIS sensors.  The standards described here are still being developed and are not mandated by the U.S. Department of Transportation.  The U.S. DOT encourages agencies to use this brochure as a starting point to learn about RWIS standards and to consider how they might use these standards to reinforce their own RWIS operations.

http://www.ops.fhwa.dot.gov/weather/Publications/RWIS_brochure.pdf

AN INVESTIGATION OF INCIDENT FREQUENCY, DURATION AND LANES BLOCKAGE FOR DETERMINING TRAFFIC DELAY

Traffic delay caused by incidents is closely related to three variables:  incident frequency, incident duration, and the number of lanes blocked by an incident.  Relatively, incident duration has been more extensively studied than incident frequency and the number of blocked lanes.  In this study, we provided an investigation of the influencing factors for all of these three variables based on an incident data set that was collected in New York City.  The information about the incidents derived from the identification can be used by incident management agencies in New York City for strategic policy decision making and daily incident management and traffic operation.  Rain is the only factor that significantly influenced incident frequency.

Transportation Research Board 81st Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

AN OVERVIEW OF FEDERAL HIGHWAY ADMINISTRATION ROAD WEATHER MANAGEMENT PROGRAM ACTIVITIES

The Road Weather Management program of the Federal Highway Administration (FHWA) seeks to understand weather impacts on roads and promote techniques to improve roadway operations in inclement weather.  This paper presents an overview of program objectives, various research and outreach projects, as well as tools used by traffic, emergency and maintenance managers.

Mitretek Systems

AN OVERVIEW OF SURFACE TRANSPORTATION WEATHER RESEARCH CONDUCTED THROUGH THE COOPERATIVE PROGRAM FOR OPERATIONAL METEOROLOGY, EDUCATION AND TRAINING (COMET)

In 2001, the National Weather Service (NWS) and the Federal Highway Administration (FHWA) began a joint research effort to evaluate how ESS data can best be used for both road condition forecasting and broader weather forecasting.  This paper will describe the five research projects and their results to date.  The five projects selected are located in Iowa, Nevada, New York, Pennsylvania, and Utah.

Mitretek Systems

ANALYSIS OF WEATHER IMPACTS ON TRAFFIC FLOW IN METROPOLITAN WASHINGTON, D.C.

The Federal Highway Administration's (FHWA) Road Weather Management Program (RWMP) has been sponsoring research into the impacts of weather on surface transportation.  One specific research task involved attempting to quantify the amount of travel delay imposed upon drivers due to the effects of inclement weather.  This paper describes two different methods used to approximate travel delay impacts of weather along specific roadway segments around metropolitan Washington, D.C.

Mitretek Systems

ANALYSIS OF WEATHER-RELATED CRASHES ON U.S. HIGHWAYS

This paper presents results of an analysis of crashes on U.S. highways in poor road weather conditions.  The objectives of the analysis were to update a March 2001 report titled "A Preliminary Analysis of U.S. Highway Crashes Against an Exposure Index", and to identify trends in the frequency of weather-related crashes.

Mitretek Systems

ANALYSIS OF WEB-BASED WSDOT TRAVELER INFORMATION:  TESTING USERS' INFORMATION RETRIEVAL STRATEGIES

This report details the findings of a usability study of the Washington State Department of Transportation (WSDOT)  traffic and weather information on the web.  The purpose of this test was to examine the user experience associated with retrieving traveler information, such as road conditions, traffic congestion, pass information, construction, and weather from the WSDOT Traffic and Weather web site.

http://www.depts.washington.edu/trac/bulkdisk/pdf/552.1.pdf

ANALYZING THE EFFECTS OF WEB-BASED TRAFFIC INFORMATION AND WEATHER EVENTS IN THE SEATTLE PUGET SOUND REGION: DRAFT REPORT

Analysis of web-based ATIS usage logs against observed weather conditions, and generation of a new profile of ATIS market penetration.  Simulation results were analyzed and compared to results from Mitretek's earlier MMDI study.  Analysis showed that non-uniform ATIS utilization rate related to severe weather has a small positive impact on road system efficiency.

Mitretek Systems, ITS Division

ANOTHER STEP TOWARD A NATIONALLY INTEGRATED TRAVELER INFORMATION SYSTEM

Overview of traveler information including definition, explanation of growth, USDOT role and vision, and next steps.

ntl.bts.gov/lib/jpodocs/redirect/periodic/8ph01!.htm

ANTI ICING SUCCESS FUELS EXPANSION OF THE PROGRAM IN IDAHO

Idaho Transportation Department anti-icing success story on section of US Highway 12.

www.sicop.net/US-12%20Anti%20Icing%20Success.pdf

ANTI-ICING STUDY: CONTROLLED CHEMICAL TREATMENTS

Correlations between meteorological parameters and chemical effectiveness can indicate the optimum conditions for a particular anti-icing chemical application.  Anti-icing chemical treatments are more efficient when used for adhesion prevention than for removing snow and ice already in place

http://gulliver.trb.org/publications/shrp/SHRP-H-683.pdf

APPLICATION OF ADVANCED ITS INTERFACING THAT IMPROVES MAINTENANCE OPERATIONAL EFFECTIVENESS AND WINTER SAFETY IN RURAL AREAS

In 1995, the state DOT's of Iowa, Michigan, and Minnesota formed a consortium to define and develop the next-generation highway maintenance vehicle that would utilize the latest maintenance operational technologies and interface with Intelligent Transportation Systems.  This advanced technology highway maintenance vehicle functions as both an operational truck and a mobile data-gathering platform. Sensors mounted on the vehicle record air and roadway surface temperature, roadway surface condition, and roadway surface friction characteristics.

http://www.ctre.iastate.edu/pubs/midcon/Smithson.pdf

APPLICATION OF JETTING TECHNOLOGY TO PAVEMENT DEICING

Over 20 years ago, the Connecticut DOT investigated the use of pressurized salt brine jets to enhance the deicing performance.  Despite promising results from several field trails, technical difficulties led to abandonment of this technology in the early 80's.  Recent advances in high pressure jetting technology suggest that the use of high pressure jets in conjunction with improved chemical agents for pavement deicing may now be practical.  In this study, the application of modern high pressure jetting technology as a means of pavement deicing is explored.  The proposed system removes ice and snow through the combined action of mechanical jetting forces and controlled use of deicing chemicals.

Transportation Research Board 81st Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

APPLICATION OF ROAD WEATHER INFORMATION SYSTEMS IN THE WESTERN UNITED STATES

MesoWest software links weather observations from roughly 350 stations in the NWS surface aviation network and 2,100 additional stations, including RWIS stations.  MesoWest collects and processes data from over 40 organizations.  MesoWest data is available in Montana, Nevada, Utah and Wyoming through cooperative agreements between local NWS offices and state DOT agencies.

www.met.utah.edu/jhorel/html/mesonet/rwis.pdf

APPLICATION OF THE ADVANCED TRAVELER INFORMATION SYSTEMS (ATIS) MESSAGE STANDARD

Mitretek demonstrated an information system that provides route-specific travel forecasts that contain weather, traffic, and road closure information using eXtensible Markup Language (XML).  The demonstration used XML data sets from a DOT's web site containing manual weather observations and RWIS data,  as well as data from a web-based Pavement Condition Reporting System (PCRS).

8th World Congress on ITS, Mitretek Systems ITS Division

APPLICATIONS OF A ROADWAY FROST PREDICTION SYSTEM IN IOWA

Various predictive systems have been explored to determine the best method to predict frost formation.  Several different road frost, weather, and road temperature forecasts were examined and verified against human observations of frost on a bridge in Ames, Iowa during the winter of 2001-02.  A frost deposition model was used to determine accumulated frost depth.

http://ams.confex.com/ams/annual2003/techprogram/paper_56029.htm

APPLICATIONS OF INTELLIGENT TRANSPORTATION SYSTEMS FOR WINTER MAINTENANCE

This paper describes potential applications of ITS for winter maintenance and provides examples of case studies.  Moreover, the paper identifies and discusses the institutional, technical and operational barriers to the implementation of advanced technologies for ice and snow removal.

Transportation Research Board 80th Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

APPLICATIONS OF INTELLIGENT TRANSPORTATION SYSTEMS FOR WINTER MAINTENANCE

This paper describes potential applications of ITS systems for winter maintenance and provides examples of case studies.  Moreover, the paper identifies and discusses the institutional, technical and operational barriers to the implementation of advanced technologies for ice and snow removal.

Transportation Research Board 80th Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

ARE SIMPLISTIC WEATHER-RELATED MOTORIST WARNING SYSTEMS "ALL WET"?

On a two-lane exit ramp in Ft. Lauderdale, Florida; an automated motorist warning system (including a wet pavement sensor and vehicle detector) that activates flashing beacons atop static speed limit signs.  Speed reductions and reduced crash frequency resulted.

7th World Congress on ITS, University of South Florida.

AURORA PROGRAM RWIS SPECIFICATIONS

The goal of the "Compilation of RWIS Specifications" project is to develop a database of Aurora member RWIS construction, maintenance, and forecast specifications.  This resource includes specifications from agencies in Arizona, Illinois, Iowa, Minnesota, Pennsylvania, Tennessee, Virginia, and Wisconsin

http://www.aurora-program.org/matrix.cfm

AVALANCHE HAZARD REDUCTION FOR TRANSPORTATION CORRIDORS USING REAL-TIME DETECTION AND ALARMS

Presents configurations of systems that detect and provide warning to motorists and highway maintainers of the onset of avalanching onto the roadway.  Warnings include on-site traffic control signing and in-vehicle audio alarms for winter maintenance vehicles.

www.sicop.net/annals-paper%20total.pdf

BENEFIT/COST STUDY OF RWIS AND ANTI-ICING TECHNOLOGIES

Report describes anti-icing and RWIS research and implementation efforts, and summarizes anti-icing technologies.  Benefits and costs as reported in the literature and supplemented with interviews of highway professionals.

www.sicop.net/NCHRP20-7(117).pdf

BEST PRACTICES OF OUTSOURCING WINTER MAINTENANCE SERVICES

Contract language and provisions being used by various owner-agencies in the public sector.  Best practices include clear contractual language placing responsibility on private sector to develop, train and equip personnel; confine language to measurable outcome-based performance measures; connect producer-contractor to user-customer; producers proactively responding to RWIS-based predictions and encouraged to utilized anti-icing; seek the sharing of knowledge; and maximize opportunities for the private sector to be responsive, efficient and effective.  Appendix D contains sample contract provisions.

www.vmsom.com/images/pdf/Best%20Practices%20Outsourcing%20Winter%20Maintenance%20Services.pdf

CLOSING THE DATA GAP: GUIDELINES FOR QUALITY ADVANCED TRAVELER INFORMATION SYSTEM (ATIS) DATA

ITS America's ATIS Committee developed guidelines to assist public agencies and private firms in generating and using data to support the expansion of ATIS products and services.  The focus of these guidelines is limited to real-time or dynamic traffic-related information necessary to offer traveler information services envisioned in the near-term.

www.itsdocs.fhwa.dot.gov//jpodocs/rept_mis/13580.html

COLLECTION OF VEHICLE SPEED DATA USING TIME-LAPSE VIDEO RECORDING EQUIPMENT

This paper describes an innovative application of time-lapse video recording to assist in a highway safety improvement evaluation.  The highway safety improvement is an icy curve warning system near Fredonyer Summit in northern California that activates real-time motorist warnings via extinguishable message signs, based on weather readings collected from road weather information systems.  One measure of effectiveness of the project is whether motorist speed is reduced as a result of real-time warnings to drivers.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

CONSIDERATION OF ENVIRONMENTAL FACTORS IN TRANSPORTATION PLANNING:  REVIEW AND ANALYSIS OF CURRENT POLICIES, PRACTICES AND TRENDS

This paper reviews current trends and practices for considering environmental factors in transportation planning at a systems level, in state DOTs and MPOs.  The study is based on a review of the literature, and a survey and case studies of state DOTs and MPOs.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

CURRENT PRACTICES IN TRANSPORTATION MANAGEMENT DURING INCLEMENT WEATHER

Best practices include road weather and traffic surveillance to assess threats to transportation system performance, arterial and freeway management to regulate roadway capacity, as well as dissemination of advisory information to influence traveler decisions and driver behavior.  These management practices are employed in response to various weather threats including low visibility, high winds, precipitation, hurricanes, flooding, and avalanches.  Weather-related transportation management practices (1) improve mobility by increasing roadway capacity and promoting uniform traffic flow, (2) increase public safety by minimizing crash risk and exposure to hazards, as well as (3) enhance the safety and productivity of road maintenance personnel.

Institute of Transportation Engineers 2002 Annual Meeting, Mitretek Systems ITS Division

DATA INTEGRATION AND PLANNING FOR THE INSTALLATION OF AUTOMATIC BRIDGE ANTI-ICING SYSTEMS

This is the first of two papers focused on the issue of bridge prioritization for installation of automatic anti-icing systems.  The objective of this paper is to illustrate the integration of data from various sources in a geographic information system (GIS) for the planning of automatic bridge anti-icing system installations.  Database integration involved merging information on various criteria that were deemed important in the selection of bridges for anti-icing system installation.  Data sources included:  Nebraska Department of Roads (NDOR) bridge inventory, NDOR state accident data, NDOR maintenance yard data, archived weather data from the High Plains Regional Climate Center and the National Weather Service, and commercially available Nebraska streets, rivers, and streams data.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DECISION AID FOR PRIORITIZING BRIDGE DECK ANTI-ICING SYSTEM INSTALLATIONS

During winter conditions, moisture on bridge decks often freezes before the surrounding roadway surface.  Automatic anti-icing systems spray chemicals that prevent or minimize ice bonding to the bridge deck.  The Nebraska Department of Roads (NDOR) is interested in installing such systems on various bridges statewide.  However, limited funding requires that bridges be prioritized for installation based on relevant criteria.  The factors considered in the prioritization of installing automatic anti-icing systems include accident history, bridge alignment, weather, traffic, and bridge distance from maintenance yard, among others.  Four different decision-aid methods; namely benefit-cost ratio, cost effectiveness, utility index, and composite programming; were considered.  Given it's flexibility and advantages over other methods, composite programming appears to be the most suitable method for bridge prioritization.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DECISION SUPPORT SYSTEM FOR WINTER MAINTENANCE: FEASIBILITY DEMONSTRATION

This project reports on existing work in developing decision support tools to select chemical applications appropriate to winter weather conditions, to describe in detail those which are at or near an operational state, and to assess the feasibility of implementation as part of a RWIS.  A literature review identified four DSS: an expert system development project by the Swedish National Road Administration (SNRA), a table-based menu for anti-icing developed by FHWA, a computerized adaptation of the FHWA menu, and an expert system development by Swedish Road and Transport Research Institute.

Aurora Program, Ontario Ministry of Transportation

DESIGN GUIDELINES FOR THE CONTROL OF BLOWING AND DRIFTING SNOW

This report describes how to design effective and economical measures for controlling blowing and drifting snow.  These measures include various snow fence designs to accommodate land use and right-of-way considerations; considerations for pavement design and appurtenances; proper siting of snow fence to compensate for terrain; and ways to use trees and plants as natural snow fences.  The field research and sources of information are presented.

http://gulliver.trb.org/publications/shrp/SHRP-H-381.pdf

DEVELOPING A DESIGN POLICY TO IMPROVE PAVEMENT SURFACE CHARACTERISTICS

The Maryland State Highway Administration (MDSHA) routinely measures friction on State highways to assist with decision making associated with road maintenance management.  The MDSHA uses the Friction Tester to monitor the micro-texture of the pavement aggregate during the service life of the pavement surface.  Micro-texture is a measure of the degree of polishing of a road aggregate and is the main factor in determining the peak level of dry and wet friction provided by a pavement surface.  The MDSHA is attempting to better understand surface frictional requirements at approach to pedestrian crossing, traffic lights, etc during wet weather and to establish minimum friction levels for different types of roadways based on accident data.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DEVELOPING THE FRAMEWORK OF A DYNAMIC TRAFFIC MANAGEMENT MODEL FOR HURRICANE EVACUATION: SUMMARY REPORT

Paper describes the development of a dynamic hurricane evacuation modeling framework, which can be used for planning and operational purposes.  See also TRAFFIC MODELING FRAMEWORK FOR HURRICANE EVACUATION.

Transportation Research Board 79th Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DEVELOPMENT AND TESTING OF VARIABLE SPEED LIMIT LOGICS AT WORK ZONES USING SIMULATION

Variable speed limits (VSL) have been primarily used to display reasonable speed limits to drivers based on real time road and weather conditions.  They are also used to dynamically respond to traffic conditions especially at work zones or incidents.  This paper presents the development of VSL control logic that can consider both safety and mobility measures at work zones.  A surrogate measure of crash, minimum safe distance equation (MSDE), is proposed and a method of finding the optimum with respect to MSDE (the safety measure) and travel time (a mobility measure) has been elaborated.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DEVELOPMENT AND VALIDATION OF A MODEL TO PREDICT PAVEMENT TEMPERATURE PROFILE

To determine in-situ strength characteristics of flexible pavement, it is necessary to predict the temperature distribution within the hot-mix asphalt (HMA) layers.  To determine the pavement temperature profile, the influence of ambient temperature and seasonal changes must be understood such that the effects of heating and cooling trends within the pavement structure can be quantified.  It is possible to model daily pavement maxima and minima temperature by knowing the maximum or minimum ambient temperatures, the depth at which the pavement temperature is desired, and the day of year at a particular location.  This paper extends that model to incorporate either the calculated daily solar radiation or latitude such that the model can be applied to any location.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DEVELOPMENT OF ANTI-ICING TECHNOLOGY

Nine state highway agencies conducted anti-icing experiments to determine when anti-icing is effective and how to conduct anti-icing efficiently.  Anti-icing is effective and how to conduct anti-icing efficiently.  Anti-icing treatment requires less chemicals than most deicing procedures and makes it easier to achieve bare pavement conditions.  A limited cost-benefit analysis was performed, comparing anti-icing effectiveness with deicing operations.  The findings of Scandinavian countries that use anti-icing are reviewed.

http://gulliver.trb.org/publications/shrp/SHRP-H-385.pdf

DEVELOPMENT OF HYBIRD MODEL FOR DYNAMIC TRAVEL TIME PREDICTION

This paper discusses a prediction model derived by integrating a path-based and link-based prediction models.  Prediction results generated by the hybrid model and their accuracy are compared with those generated by the path-based and link-based models individually.  The experimental results reveal that the predicted travel times with the path-based model are better than those predicted with the link-based model during peak-hours and vice versa.  The hybrid model derives results from the best model at a given time, thus optimizing the performance.

Transportation Research Board 82nd Annual Meeting, Search TRIS http://199.79.179.82/sundev/search.cfm

DEVELOPMENT OF ROAD SURFACE CONDITION SENSOR USING OPTICAL TEMPERATURE SENSOR AND WEATHER SENSOR

System is comprised of optical fiber embedded in the road and a temperature distribution measurement apparatus to measure longitudinal temperature distribution, ESS, and a judgment apparatus that classifies road conditions into five categories based on the various measurement data.

8th World Congress on ITS, Ministry of Land Infrastructure and Transport, Japan

DEVELOPMENT OF ROAD TEMPERATURE SENSING SYSTEM USING OPTICAL FIBER

Road surface temperature distribution sensing using optical fiber sensor embedded in roadway and ESS data.  Tests on two kilometer section of National Route No. 18 in Nagano Prefecture, Japan. 

7th World Congress on ITS, Ministry of Construction, Japan

DOCUMENTATION AND ASSESSMENT OF MN/DOT GATE OPERATIONS

Study conducted from March to August 1999 to assess new operational procedure prohibiting access to Interstates during unsafe driving conditions using mainline and ramp gates.  Benefits and costs data.

www.dot.state.mn.us/guidestar/pdf/gatereport.pdf

DYNAMIC MESSAGING: A GUIDANCE DOCUMENT PROVIDING ADVISORY INFORMATION ON LOW-VISIBILITY WARNING SYSTEMS BASED ON RESEARCH AND ANALYSIS OF DEPLOYED SYSTEMS

The Enterprise program is multi-state pooled-fund study group with a focus on providing effective solutions for rural transportation applications.  Enterprise, in cooperation with the Arizonia DOT, is researching solutions for problems motorists face in limited visibility situations.  Identifies components of low-visibility warning systems and the techniques deployed by various states that best address improving safety by detecting low visibility events and disseminating advanced information to motorists as well further evaluating low-visibility detection technologies during these conditions.

Castle Rock Consultants

ECONOMIC EVALUATION OF ADVANCED WINTER HIGHWAY MAINTENANCE STRATEGIES

Estimated potential savings in labor and equipment costs of using pavement temperature data to customize material type and application rates.

http://ntl.bts.gov/lib/jpodocs/redirect/proceedn/4hy01!.pdf

EFFECT OF ENVIRONMENTAL FACTORS ON FREE-FLOW SPEED

Use of Idaho Storm Warning System project data to determine the effects of various weather factors on free-flow speed during 1997/1998 and 1998/1999 winter.

Proceedings of the Fourth International Symposium on Highway Capacity