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Executive Summary

There is a concerted effort across the federal government to measure and track program performance. The development of an appropriate and manageable set of performance metrics is critical to the success of that effort. The Road Weather Management Program (RWMP) within the Office of Operations of the Federal Highway Administration (FHWA) at the U.S. Department of Transportation (USDOT) has been developing a set of performance metrics for its program since 2006. This report describes that effort and the results of applying metrics to evaluate its success against a set of goals established for the program.

Performance Measurement Goals

In 2005, the U.S. Congress passed the Safe, Accountable, Flexible, Efficient, Transportation Equity Act – A Legacy for Users (SAFETEA-LU) to fund the USDOT. Title V, Section 5308 of this act established a Road Weather Research and Development Program that has been managed by the RWMP. The RWMP’s activities and services are guided by a set of goals that are specified in Section 5308 of the current SAFETEA-LU legislation. Three significant goals are defined in the legislation to guide RWMP research and development:

  1. Maximize use of available road weather information and technologies;
  2. Expand road weather research and development efforts to enhance roadway safety, capacity, and efficiency while minimizing environmental impacts; and
  3. Promote technology transfer of effective road weather scientific and technological advances.

Section 5308 specifically cited the National Research Council report Where the Weather Meets the Road1 as a source for programmatic recommendations to help guide the work of the RWMP in meeting the SAFETEA-LU goals. The RWMP responds to as many of these programmatic recommendations as possible within the limits of the available resources. To measure and interpret the social, scientific, and organizational benefits that accrue from these RWMP projects, activities and services, a challenge is to identify and implement reasonable performance measures that track the attainment or progress towards the SAFETEA-LU goals.

Measurement Framework and Approach

The objective in creating a set of performance metrics for the RWMP is to understand the accomplishments and benefits of the program, its products, activities and services in terms of its success in meeting the three SAFETEA-LU goals. Most of these effects can be measured as direct consequences of the RWMP, but some that are attributable to the RWMP may also result from indirect effects channeled through other stakeholders. One of the main elements of the RWMP program has been to foster a collaborative research and applications agenda in the field of road weather management. Other federal agencies, state agencies and the private sector undertake activities independent of the RWMP that may affect progress toward achievement of the SAFETEA-LU goals. These activities can interact with the RWMP in a feedback loop that indirectly affects the performance of the RWMP’s programs and activities.

In order to more fully understand RWMP performance, it will be important to look at more than a snapshot of the data that reflect the program’s effect on the SAFETEA-LU goals. Progress toward goal achievement is expected to be incremental over time, and therefore, the selected metrics will need to be applied periodically, likely on an annual or bi-annual basis, to identify changes in RWM program performance.

The first step in identifying a manageable set of performance measures began with a literature review and a workshop with selected federal, state and private sector individuals knowledgeable about road weather and atmospheric weather, and experienced in developing performance metrics. A large list of candidate measures was widely distributed to over 250 national stakeholders who reviewed and commented upon the metrics, and offered their sense of program relevance and priority associated with each. This resulted in a refined short list of metrics that then were examined in greater detail, including more clearly defining each measure and specifying the data requirements to support each measure. The final report for Phase I describes the performance framework development process in more detail.2

These resulting 11 measures are shown in Table ES-1 under each of the 3 goal areas.

Table ES-1. RWMP Performance Measures

Goal 1: Maximize use of available road weather information and technologies.

1.1 Number or percentage of transportation agencies that use road weather information and decision support systems (based on current or forecast information) for making advisory, control and treatment decisions.

1.2 Number or percentage of travelers who use road weather information for making travel decisions (both pre-trip and en-route).

1.3 Number of environmental sensor stations (ESS) deployed and used by transportation agencies to support decision-making (normalized by total area or length of road network).

Goal 2: Expand road weather research and development efforts to enhance roadway safety, capacity and efficiency while minimizing environmental impacts.

2.1 Number of agencies participating in and benefiting from road weather R&D projects.

2.2 Percentage of time roadway meets safety and capacity level of service (LOS) standards (i.e. V/C ratio, etc.) during and after weather events (normalized by the frequency/intensity of winter events).

2.3 Reduction in agency costs (i.e. labor, equipment, and materials) due to adoption of maintenance and operations decision-support systems for road weather management.

2.4 Reduction in user costs (i.e. delay, crashes, vehicle operating costs, emissions, salt damage) due to improved road weather advisory, control and treatment strategies.

Goal 3: Promote technology transfer of effective road weather scientific and technological advances.

3.1 Number of agencies/individuals visited or contacted through technology transfer, training and outreach efforts.

3.2 Rate of adoption of RWM technologies (e.g., decision-support systems) by agencies that participated in workshop or training activities.

3.3 Number of RWM technology development, testing and deployment activities initiated through public or private sector based on identified operational needs.

3.4 Number of road weather technologies developed through public-private and/or public-public partnerships reaching operational deployment.

 

The RWMP addresses each of the three goals set forth under SAFETEA-LU by a combination of activities under four major objectives:

The RWMP has initiated several programs, projects and activities in the last five years. While each of these is at a different stage of project implementation, each has resulted in measurable outputs and outcomes for road weather management across the country. These accomplishments are expected to contribute directly to the attainment of the three SAFETEA-LU goals. In addition, the activities of the RWMP can serve as a catalyst to motivate and facilitate goal achievement through a variety of channels. For example, the RWMP sponsors workshops that inspire attendees to move in new directions with regard to more proactively incorporating weather into their own programs, and this in turn affects further progress toward achieving the SAFETEA-LU goals. The RWMP helps encourage the efforts of other federal agencies, state DOTs and private sector providers, and these other entities contribute to SAFTEA-LU goal achievement as well through their own independent initiatives and efforts.

RWMP Performance toward Achieving SAFETEA-LU Goals

Goal 1: Maximize use of available road weather information and technologies. The measures under Goal 1 primarily seek to address changes over time in the use of road weather information products and services. Deployment statistics data from 2004 to 2007 show increases in usage of road weather information in all aspects of operations.

The RWMP has had many direct and indirect contributions to the reported increase in use over the past three years by promoting the use of weather information in transportation operations around the country through a variety of activities including providing tools, conducting field tests and demonstrations, collaborating with private and public agencies for improved road weather information services, promoting best practices for weather information integration, weather-responsive traffic management, and development of the Clarus system and MDSS.

While increase in access and use has been clearly demonstrated, the quality and nature of use among agencies vary greatly and are uncertain from the deployment statistics. In other words, future performance measurement, in addition to tracking usage, needs to monitor quality of use when possible. The RWMP study on Baselining Current Road Weather Information3 can provide valuable information in this regard in addition to specific deployment evaluations.

Goal 2: Expand road weather research and development efforts to enhance roadway safety, capacity and efficiency while minimizing environmental impacts. The four measures under Goal 2 seek to quantify the extent to which agencies are engaging in activities that will enhance the safety, capacity, and economic advantages of addressing the impacts of adverse weather conditions on roads and travelers, and do that while also minimizing impacts to the environment. National level trends reflect positively on RWMP performance. Although many of the best practices and new technologies being promoted by the RWMP have only recently become available, state transportation agencies are eagerly adopting them. Best practices have existed prior to the RMWP, and the RWMP has sought to compile, promote and catalyze increased adoption and use of these techniques. Clear results are difficult to quantify in this early and selective nature of the deployments but the evidence to date suggests significant use and benefits. At the local levels of deployment, RWMP tools, products and services and the best practices that the RWMP supports have resulted in wide-ranging benefits in terms of safety, mobility, efficiency, productivity and customer satisfaction. Monitoring levels of use coupled with project evaluations clearly indicate that RWMP programs are having real benefits under this Goal 2.

Goal 3: Promote technology transfer of effective road weather scientific and technological advances. The four measures under Goal 3 seek to quantify the extent to which the RWMP has been able to engage a wide range of stakeholders and potential users of road weather technologies, communicate the benefits, promote usage, and successfully transfer operational tools and systems to states and agencies across the country. Measures of success include:

Although indicated as the third goal of the RWM program, this goal reflects the first step in the process of raising awareness of the benefits of adopting RWM technologies and systems and directly contributes to the successes in Goal 1 and Goal 2. Much more progress along these lines can be expected in the future.

RWMP performance findings are summarized in Tables ES-2 to ES-4, and the available data have been collected either in direct support of each measure or indirectly through one or more indicators that are linked to the measure. The data vary in their ability to support the measure, and some of the indicators only offer weak linkage to their measure. These issues are discussed further in this report, and recommendations are made regarding future adjustments to the measures and indicators, as well as the need to identify new sources of data that can offer stronger support for the measures. Currently, the available data sources include the ITS-JPO Deployment Statistics and Benefit-Cost databases, RWMP program records, and transportation agency surveys and interviews conducted as part of this project.

The RWMP plays a variety of roles in its efforts to achieve the goals set for it under SAFETEA-LU, and these include initiating and implementing programs and projects that are designed to advance the frontiers of road weather research and development, providing training, engaging in partnerships and collaborative efforts, heightening awareness of the value of road weather information and its potential uses, and always seeking to encourage others to become more engaged in the application of road weather information and tools in support of advisory, control and treatment strategies in making our transportation systems safer and enhancing mobility. Both prior to the establishment of the RWMP, and since initiation of the range of activities and services described in this report, Federal, state and local agencies and the private sector have played, and will continue to play, a very significant role in the achievement of this program’s goals. While this report has sought to highlight the performance of the RWMP as illustrated by the findings shown in Tables 13-15, the attainment of the SAFETEA-LU goals is ultimately a widely collaborative effort in which the RWMP plays a leadership role.

Table ES-2. Summarized Results for Goal 1 of Measures of RWMP Performance

Performance Measure

Indicators and Data that Support the Measure

Goal 1: Maximize use of available road weather information and technologies.

1.1 Number or percentage of transportation agencies that use road weather information and decision support systems (based on current or forecast information) for making advisory, control and treatment decisions.

  • The number of states providing travelers with weather information, using DMS, HAR, 511 or Web, increased on average 46% between 2004 and 2007.
  • States increased their dissemination of six specific types of weather information between 2004 and 2007 by an average of 49%. For example, 22 states reported providing route-specific weather forecasts in 2007, an increase of 69% over 2004.
  • In 2007, 46 states reported using atmospheric data and 45 states using pavement data for their operations, 30 states used ITS technologies to implement weather-related control strategies to manage road diversions or closures, and 15 states were using such strategies to implement temporary road restrictions.
  • MDSS usage has grown rapidly since 2004, and by 2008, 30 transportation agencies reported some use of MDSS, and five agencies reported operational use of MDSS to support winter maintenance operations.
  • Between 2004 and 2007 the number of state DOTs using weather information increased an average of 31%, with 45 state DOTs using NWS information, an increase of 29% over 2004 usage.

1.2 Number or percentage of travelers who use road weather information for making travel decisions (both pre-trip and en-route).

  • In 2008, 33 states had 41 operating 511 systems, and 25 of those offered some type of road weather information.
  • On average, an estimated 12% of calls to 511 have accessed weather information.

1.3 Number of environmental sensor stations (ESS) deployed and used by transportation agencies to support decision-making (normalized by total area or length of road network).

  • Between 2006 and 2008 the number of agencies contributing their ESS data to the Clarus System increased from 3 to 33, and these 33 agencies had 1,700 ESS reporting data to the Clarus System, which is about 68% of the national ESS deployed.
  • Between 2004 and 2007 the number of agencies providing ESS data for agency use increased from 26 to 30 (15%), and for public use from 38 to 45 (18%).

 

Table ES-3. Summarized Results for Goal 2 of Measures of RWMP Performance

Performance Measure

Indicators and Data that Support the Measure

Goal 2: Expand road weather research and development efforts to enhance roadway safety, capacity and efficiency while minimizing environmental impacts.

2.1 Number of agencies participating in and benefiting from road weather R&D projects.

  • Of 24 state agency respondents to interviews in 2009, 21 (88%) said they experienced moderate or substantial benefits (50% moderate and 38% substantial), and 20 of these respondents said they were involved in more than one RWM program.

2.2 Percentage of time roadway meets safety and capacity level of service (LOS) standards (i.e. V/C ratio, etc.) during and after weather events (normalized by the frequency/intensity of winter events).

  • National level statistics do not exist yet to directly address this measure but interviews reveal that agencies are beginning to use performance measures to track safety and capacity level of service.
  • 32% of agency respondents interviewed in 2009 said they measure “time to wet/bare pavement.”
  • 4% measure “percent of time that lanes are open during a weather event.”
  • 7% measure “pavement friction measurements.”
  • 11% measure “time to pre-event travel speeds after a weather event.”
  • 18% measure “customer satisfaction with maintenance and recover time.”
  • 25% use other performance measures.

2.3 Reduction in agency costs (i.e. labor, equipment, and materials) due to adoption of maintenance and operations decision-support systems for road weather management.

  • Between 2001 and 2007, nationwide costs for snow and ice removal ranged from $2.7 billion to $3.2 billion annually.
  • Selected evaluations of MDSS usage show savings by three states that range from $1.2 million to $1.7 million per winter.
  • A city maintenance unit saved $74,000 in shift labor costs in the 2008 winter.
  • Another state reported saving $12.1 million in salt usage and $1.4 million in overtime compensation from previous years. These correspond to a 41% reduction in salt usage and a 26% reduction in overtime compensation.

2.4 Reduction in user costs (i.e. delay, crashes, vehicle operating costs, emissions, salt damage) due to improved road weather advisory, control and treatment strategies.

  • The RWMP encourages use of best practice technologies that reduce crashes due to weather and save lives. While these best practices may not have been developed by the RWMP, they are increasingly being used by transportation agencies and promoted by the RWMP as part of their program.
  • Fog warning systems have reduced crashes by 70 to 100%; RWIS use by up to 17%; anti-icing strategies by up to 83%; wet pavement detection by 39%; and conditions reported on DMS by 2.8%.
  • Low visibility warning systems reduced speed variability by 22% and increased speeds by 11%; HAR messages helped CVOs make better route choices; variable speed limits reduced average speed by 13%; weather-related signal timing reduced vehicle delay 8% and vehicle stops by more than 5%; and weather and road condition information on websites lead to increased traveler satisfaction (94% reported being better prepared and 56% reported it helped avoid delays due to weather).

 

Table ES-4. Summarized Results for Goal 3 of Measures of RWMP Performance

Performance Measure

Indicators and Data that Support the Measure

Goal 3: Promote technology transfer of effective road weather scientific and technological advances.

3.1 Number of agencies/individuals visited or contacted through technology transfer, training and outreach efforts.

  • Between 2004 and 2008, state DOT participation in annual Clarus stakeholder meetings promoted by the RWMP increased from 10 to 31 (68%).
  • Of 30 state agency representatives interviewed in 2009, 22 (73%) reported their agency was involved in the Clarus Initiative.
  • Between 2000 and 2008, 41 state DOTs have participated in one or more annual MDSS stakeholder meetings, and the participation level has remained stable.
  • Agency interviews in 2009 indicate 17 of 30 agencies (57%) are involved with MDSS and 13 of 30 agencies (43%) with both the Clarus Initiative and MDSS.
  • Agency interviewees reported deriving either “substantial benefits” (36%) or “moderate benefits” (48%) from their involvement in Clarus and MDSS, even though these are new programs.
  • The RWMP sponsored 6 road weather management training courses over the past several years that drew 151 attendees. An ITE course on Fundamentals of Road Weather Management had 40 participants in 2008, and the RWMP sponsored MDSS Road Show has been conducted 28 times between 2006 and 2008 with 925 participants across the country.
  • 22 out of 28 agency interviewees (79%) reported visiting the RWMP web site, and 12 said they downloaded materials. 20 of 28 respondents (71%) said they participated in one of the NTOC webcasts.

3.2 Rate of adoption of RWM technologies (e.g., decision-support systems) by agencies that participated in workshop or training activities.

  • Between 2006 and 2008, the number of state and local agencies contributing ESS data to the Clarus System increased from 3 to 33.
  • In the early deployment of the Clarus Initiative, 5 private sector entities are active users of Clarus System quality-checked data.
  • As noted under Measure 1.1, by 2008, 30 states and local agencies reported some use of MDSS, and five agencies reported operational use of MDSS to support winter maintenance operations.

3.3 Number of RWM technology development, testing and deployment activities initiated through public or private sector based on identified operational needs.

  • Between 2001 and 2008 approximately 90 projects have been initiated through federal, state and university sponsorship with RWMP input and support.

3.4 Number of road weather technologies developed through public-private and/or public-public partnerships reaching operational deployment.

  • Eight public-private and public-public partnerships supported by the RWMP are in various stages of operations across the country.

 

Multiple measures and indicators, supported by a variety of relevant data sources are required to look at all available evidence in assessing the RWMP’s performance to date. This effort is only a first step to apply performance metrics in the RWMP. Applying these measures consistently over time will give a more complete picture of performance, particularly as the data improve and are collected more systematically for the purpose of supporting the metrics.

Conclusions

Performance measures offer a valuable tool to understand programmatic impacts, benefits, and potential for improvement. Stakeholders at the state and local level are eager to benefit from the activities, programs and services being offered by the FHWA Road Weather Management Program. At the same time, the RWMP is eager to see documented evidence that they are achieving the goals set out for the program and satisfying the needs of their customers. Reflecting early guidance from stakeholders, the eleven metrics examined in this paper are primarily directed at measuring the outcome benefits that the program is providing. But even the most carefully crafted performance measures can only approximate the concepts they seek to measure. The measures used to support the performance of the RWMP reflect a combination of quantifiable outputs (e.g., number of agencies that have acquired an MDSS, or the number of training programs conducted) and qualitative outcomes (e.g., the extent to which agencies are using MDSS more effectively throughout their jurisdiction, or the proactive incorporation of road weather information by transportation operators in decision making). In addition, other programs and factors can influence the measured outcomes, presenting a challenge to attribute observed data to the causal effects of the RWMP.

In addition, the responses of the state transportation agencies and stakeholders that are served by the RWMP offer another valuable indicator of program performance. State transportation agency stakeholders who were interviewed were asked to provide suggestions on how the RWMP could better support them. While a few respondents said they wanted more financial support from the RWMP, others sought more of what the program is already providing; namely, more opportunities to participate in programs such as the Clarus Initiative and MDSS, more long-distance learning opportunities and technology transfer given that states have severely constrained travel budgets, more direct engagement with the states in addition to channeling support through the private sector, and continued emphasis on ways to enhance and expand information flow and integrate weather into their operations. Overall, these stakeholders seemed pleased with the RWMP’s performance, with one respondent saying, “Keep doing what you’re doing.”

Based on an enhanced understanding of its past performance, the RWMP will be in a position to more effectively move the quality and benefits of the program forward. Even with this first application of the measures, clear progress toward attaining the SAFETEA-LU goals has been demonstrated, and the future forecast for improving performance of the RWMP appears bright.

 


1 National Research Council. Where the Weather Meets the Road: A Research Agenda for Improving Road Weather Services, 2004.

2 USDOT, FHWA. Road Weather Management Performance Metrics. Report No. FHWA-JPO-08-039, 2008.

3 FHWA. Baselining Current Road Weather. Report No. FHWA-JPO-09-055, 2009.

 

 

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