The research team's approach for the 2019 update included a review of the 2017 update, as well as the program's current objectives, activities, and products. The team then developed a plan for conducting the 2019 update and provided recommendations for presenting the results. In general, the reporting period for the performance updated is from January 2017 to mid-year 2019. These categories of sources provided data elements for the performance measures:
For this update, the research team designated each performance measure as an output (direct effort of RWMP), an outcome (response from transportation agencies and other stakeholders), or an impact (changes in transportation system performance including user, agency and societal costs and benefits). After designating each performance measure, the team identified data sources, related activities, and the strengths and weaknesses of each measure. By looking beyond each measure's latest result and analyzing the components that factored into the result, the research team was able to take a more holistic look at the RWMP's progress and successes. Table 1 summarizes the 25 performance measures in this way.
Table 1. Data Sources, Related Activities, and Strengths and Weaknesses of Each Performance Measure
PM # |
RWMP Performance Measure |
Type of Measure |
Primary Data Source |
Related Activities in 2017-2019 That May Influence the Measure |
Link to Activities |
Measure Strengths (S) & Weaknesses (W) |
Objective 1: Build and sustain relationships with multidisciplinary partners to expand road weather management (RWM) deployments. |
1 |
Number of agencies participating in road weather R&D projects |
Output |
FHWA RWMP (interviews with staff and review of R&D program) |
- EDC-4
- EDC-5
- Weather Data Environment
- Weather-Responsive Traffic Management (WRTM) implementation support activities
|
High |
S: Clearly illustrates the collaborative nature of RWMP R&D.
W: The quantification of the measure is very sensitive to how "participation" is defined. |
2 |
Number of agencies participating in and benefiting from RWMP stakeholder meetings/workshops |
Output |
RWMP records |
- RWM stakeholder meetings, 2017 and 2018
- RWM CMF Workshops, 2017 and 2018
- WRTM stakeholder meetings, 2017
- EDC-4 Weather Savvy Roads Innovation
- EDC-5 Weather Responsive Traffic and Maintenance Management Innovation
|
High |
S: Illustrate the diversity of agencies participating in RWM workshops; workshop participants benefit from the peer-to-peer interaction and additional training.
W: While feedback on the workshops is uniformly positive, it is unclear how to quantify the benefits of the workshop to the participants. |
Objective 2: Ensure that road weather management investments improve highway performance. |
3 |
Number of agencies that collect and report road weather-related performance measures to the public (i.e., winter severity index, mobility index) |
Outcome |
State DOT Survey as well as internet research |
All activities can support this measure, but direct attribution of specific activity is difficult |
High |
S: Shows the improvement in agency transparency on RWM efforts.
W: Lack of widely accepted standards for measuring success of snow and ice control activities. |
4 |
Number of agencies that have a process for evaluating the return on investment (ROI) or net benefit of their RWM investments |
Outcome |
State DOT Survey |
Compendium and technical briefs on benefit-cost analysis for road weather management |
Medium |
S: Shows agency engagement in gauging its own performance for continuous improvement. |
5 |
Reductions in agency costs of weather-related maintenance and operations activities |
Impact |
Highway Statistics publication series and internet research for case studies |
All activities can support this measure, but direct attribution of specific activity is difficult |
Medium |
S: With States' budget constraints, case studies and data showing potential cost savings may encourage more States to implement road weather strategies.
W: While individual case studies and national trends are available, linkage to program activities is difficult. |
6 |
Reduction in number and types of fatalities and crashes attributed to adverse weather, nationally |
Impact |
FARS, NHTSA databases and internet research for case studies |
All activities can support this measure, but direct attribution of specific activity is difficult |
High |
S: With road weather as part of the EDC initiative, case studies and safety effects of road weather strategies are important to show.
W: While individual case studies and national trends are available, linkage to program activities is difficult. |
7 |
Reductions in extent of capacity losses and delays due to fog, snow, and ice events, including freight |
Impact |
Internet research, Case studies |
All activities can support this measure, but direct attribution of specific activity is difficult |
High |
W: No clear national-level dataset on this topic. Localized case studies serve as a surrogate approach. |
8 |
Increase in travel time reliability or decrease in variability due to road weather management strategies during adverse weather scenarios |
Impact |
Internet research, Case studies |
All activities can support this measure, but direct attribution of specific activity is difficult |
High |
W: No clear national-level dataset on this topic. Localized case studies serve as a surrogate approach. |
9 |
Reduction in tons of salt or chemical usage in the U.S. normalized by winter severity index |
Impact |
United States Geological Survey Minerals Yearbook: Salt (2006-2015) and internet research, Salt Institute, and AASHTO Standing Committee on Maintenance |
All activities can support this measure, but direct attribution of specific activity is difficult |
High |
W: While individual case studies and national trends are available, linkage to program activities is difficult. The lack of a common winter severity index makes temporal comparisons difficult. |
Objective 3: Transportation, weather, and research communities use and rely on fixed and mobile road weather observations. |
10 |
Number of State DOTs participating in MADIS program |
Outcome |
NWS and RWMP records |
- Support Clarus transition to MADIS
- Data sharing agreements support
|
High |
S: Directly shows if the broad national scope of Clarus transitioned to State implementation of MADIS.
W: MADIS system is currently still in development stages with NOAA. Hence usage is still limited by DOTs |
11 |
Number of State DOTs that subscribe to road weather products and services |
Outcome |
ITS Deployment Statistics and State DOT Survey |
- Road Weather CMFs
- Pathfinder
- Integrated Mobile Observations (IMO)
|
High |
S: Directly shows growth in agency use of weather and road weather information. |
12 |
Number of State DOTs collecting mobile observations of road weather data from vehicle fleets |
Outcome |
State DOT Survey |
- IMO program
- Standards support (connected vehicles, NTCIP 1204, J2735 SE)
|
High |
S: Directly shows growth in agency use of mobile data for road weather. Also identifies the type of data that are collected from maintenance vehicles, as well as from what percentage of the applicable fleets.
W: Use of mobile data standards is still in its infancy |
13 |
Number of State DOTs reporting the use of Environmental Sensor Stations (ESS) in operations and maintenance activities |
Outcome |
FHWA's RWMP records, ITS Deployment Statistics, State DOT Survey, Aurora Pooled Fund program |
- IMO — how permanent and transportable ESS data are enhanced by mobile ESS
- IMRCP — how permanent ESS data are used in modeling the effects of weather of on the roads
- WxDE — how quality checked ESS data enhances the correct usage of data
|
Medium |
S: Directly shows and tracks the usage of ESS to support management and maintenance decision-making. |
Objective 4: Advance the state of the art for mobile-sensing and integrating vehicle data into road weather applications. |
14 |
Number of/percentage of responding agencies using mobile data-based applications in road weather management |
Outcome |
RWMP records and State DOT Survey |
- IMO program
- EDC-5 WRMS Program
|
High |
S: Directly shows growth in agencies' use of mobile data-based applications for RWM and growth in their partnership with new groups involved in RWM with such applications. |
Objective 5: Advance the state of the practice by promoting tailored management strategies for different regions. |
15 |
Number of States disseminating advisory weather and road weather information to travelers |
Outcome |
ITS Deployment Statistics, State DOT Survey, State statistics |
- EDC-4 Pathfinder initiative
- EDC-5 WRTM implementation support activities
- Messaging guidelines for road weather
|
High |
S: Direct measure to assess adoption of road weather messaging around the country |
16 |
Number of agencies using control and treatment strategies during weather events |
Outcome |
ITS Deployment Statistics and State DOT Survey |
- EDC-4 Pathfinder initiative
- EDC-5 WRTM implementation support activities
|
Medium |
S: Direct measure to assess adoption of road weather control around the country.
W: Diversity of strategies and application scenarios make this measure difficult to quantify effectively. |
17 |
Number of agencies that coordinate with their local forecast offices for road weather management and operations |
Outcome |
State DOT Survey |
- Pathfinder Initiative
- Road Weather CMF
|
High |
S: Reflects agency's commitment to enhancing the performance of road weather management and operations activities. |
Objective 6: Weather-related decision support technologies are integrated into traffic operations and maintenance procedures. |
18 |
Number of agencies adopting MDSS technologies and methods |
Outcome |
State DOT Survey and MDSS Pooled Fund program |
|
Low. No recent activities relating to MDSS |
S: Directly shows growth towards advanced approaches to managing maintenance decisions and operations during inclement weather. |
19 |
Number of agencies using other weather-related decision support tools |
Outcome |
State DOT Survey |
- IMRCP Phase 2 and 3
- Tools for Operations Benefit Cost Analysis
- AMS for RW-CV applications
- WxDE
|
High |
S: Directly shows growth in agency use of decision support tools in road weather. |
20 |
Number of agencies reporting use of appropriate analysis tools to factor weather impacts and strategies |
Outcome |
State DOT Survey |
- AMS for RW-CV applications
- IMRCP
|
Medium |
S: Directly shows growth in agency use of analysis, modeling, and simulation tools in road weather.
W: Limited program activity in this area makes it difficult to attribute changes to program. |
Objective: 7 Advance the state of the practice by raising road weather capabilities and awareness across the transportation and weather communities. |
21 |
Number of agencies and attendees who have taken any of the sponsored RWMP training courses and workshops |
Output |
FHWA RWMP records (for CMF workshops) and attendance records from CITE, University of Maryland |
- RWM CMF workshops
- CITE training courses
|
High |
S: Directly illustrates the popularity and demand for RWMP training products. |
22 |
Number of agencies and participants in RWM webinars led by the RWMP |
Output |
FHWA RWMP records and records from the ITS Professional Capacity Building (PCB) Program and other webinar sponsors/venues |
- RWMP webinars
- National Transportation Operations Coalition, T3, and Talking Freight webinars
|
High |
S: Directly illustrates the popularity and demand for RWMP outreach topics. |
23 |
Number of agencies that have participated in or conducted RWM capability maturity assessment exercises |
Outcome |
RWMP records |
- RWM CMF
- AASHTO Capability Maturity Model
|
High |
S: Shows growth in agency use of capability maturity assessment tools and commitment to establish RWM as a core function. |
24 |
Number of meetings, site visits, or venues where RWM presentations/ briefings were made |
Output |
FHWA RWMP records |
- RWMP partnership activities with partners such as pooled funds, TRB, ITS America, AASHTO, NWS, NOAA, Office of the Federal Coordinator for Meteorology, World Road Association-PIARC
- National Dialogues on Highway Automation
|
High |
S: Indicates the reach of the technical transfer activities undertaken by the program.
W: It is difficult to correlate program success using the number of meetings staff are present at. A large conference with many attendees may present general information to a broader audience, while a smaller site visit may cover information more relevant to a specific agency. |
Objective 8: Operations community is engaged with weather resiliency and sustainability communities. |
25 |
Number of agencies conducting vulnerability/risk assessment or developing/implementing resiliency plans for their RWM infrastructure and processes to respond to extreme weather |
Outcome |
State DOT Survey |
- FHWA Extreme Weather Adaptation activities
|
High |
S: Shows the growth in agency awareness for weather resiliency, in managing extreme weather and improving the resiliency of operations.
W: 2017 results indicate this is still an emerging area but limited activities have taken place within the program supporting this measure. |
For this report, each of the 25 performance measures are grouped into one of four categories:
This report is organized so that each chapter can stand alone. Each chapter covers one of the four categories described in the previous section.