2019 Road Weather Management Performance Measures Update
Appendix A: State Department of Transportation Survey
This appendix summarizes the State departments of transportation (DOT) survey questions and results.
Q4. Does your agency regularly collect and report road weather performance measures? (This may include dashboards, winter maintenance reports, seasonal summaries, etc.)
Related performance measure (PM): Number of agencies that collect and report road weather-related performance measures to the public.
Table 4. State DOT Survey Question 4 and Associated Reponses
Answer Options |
Percentage |
Yes |
62% |
No |
31% |
Unsure/Not known |
8% |
Number Responded
39
Number Skipped
0
Figure 21. Chart. Responses from State department of transportation survey question 4.
Q5. Does your agency calculate a "winter severity index" to compare performance across events or across years?
Related PM: Number of agencies that collect and report road weather-related performance measures to the public.
Table 5. State DOT Survey Question 5 and Associated Reponses
Answer Options |
Percentage |
Yes |
46% |
No |
41% |
Unsure/Not known |
13% |
Number Responded
39
Number Skipped
0
Figure 22. Chart. Responses from State department of transportation survey question 5.
Q6. Does your agency have a process for evaluating the return on investment (ROI) or net benefits of road weather management investments?
Related PM: Number of agencies that have a process for evaluating the return on investment (ROI) or net benefit of their road weather management investments.
Table 6. State DOT Survey Question 6 and Associated Reponses
Answer Options |
Percentage |
Yes |
10% |
No |
72% |
Unsure/Not known |
18% |
Number Responded
39
Number Skipped
0
Figure 23. Chart. Responses from State department of transportation survey question 6.
Q7. What are your agency's sources of weather and road weather information? (Check all that apply):
Related PM: Number of DOTs that subscribe to road weather products and services.
Table 7. State DOT Survey Question 7 and Associated Responses10
Answer Options |
Response Count |
Percentage |
Fixed Agency Sensors (RWIS) |
37 |
94.9% |
Mobile Agency Sensors (IMO) |
22 |
56.4% |
Private Weather Service Providers |
26 |
66.7% |
Agency Field Personnel |
31 |
79.5% |
Public/Social Media |
30 |
76.9% |
FAA Products (ASOS, AWOS) |
16 |
41.0% |
National Weather Service Products |
33 |
84.6% |
NOAA's MADIS |
7 |
17.9% |
USGS Earthquake Alerts |
8 |
20.5% |
Not Sure/Unknown |
0 |
0.0% |
Other |
5 |
12.8% |
# Respondents Who Answered Question
39
# Respondents Who Skipped Question
0
The x-axis ranks how much the agency uses the source from 0% to 100% in increments of 10%. The y-axis the labels the bars in the graph by showing the categories of Other, Not Sure/Unknown, USGS Earthquake Alerts, NOAA's MADIS, National Weather Service Products, FAA Products (ASOS, AWOS), Public/Social Media, Agency Field Personnel, Private Weather Service Providers, Mobile Agency Sensors (IMO), and Fixed Agency Sensors (RWIS). A majority of respondents used NWS or RWIS products.
Figure 24. Graph. Responses from State department of transportation survey question 7.
Other responses included:
- Iowa Environmental Mesonet
- Fleet deployment
- Phone a friend
- In-house meteorologist
- MDSS
Q7.1: Does your agency have a signed data sharing agreement with the following? (Check all that apply):
Related PM: Number of DOTs that subscribe to road weather products and services.
Table 8. State DOT Survey Question 7.1 and Associated Responses
Answer Options |
Number of Responses |
Percent of Responses |
Weather Data Environment (WxDE) Data Sharing Agreement with FHWA |
11 |
29% |
MADIS Data Sharing Agreement with NOAA |
12 |
32% |
Private/Third Party |
18 |
47% |
Not Sure/Unknown |
11 |
29% |
Other (Please Specify): |
6 |
16% |
# Respondents Who Answered Question
38
# Respondents Who Skipped Question
1
The x-axis ranks the percentage from 0% to 50% and increases in increments of 5%. The y-axis ranks the kind of agency agreement with the categories of Other, Unsure/Not Known, Private Party, MADIS Data Sharing Agreement with NOAA, and MxDE Data Sharing Agreement with FHWA. Private Party was the most popular agency agreement with over 46% of agencies having a signed data sharing agreement with it.
Figure 25. Graph. Responses from State department of transportation survey question 8.
Other responses included:
- FAA
- Vaisala Corp
- We have something that was signed to allow Vaisala to share our RWIS data with MADIS. We also have an agreement with Waze, but not sure if it gets into anything relating to weather.
- I believe we're sharing data with FHWA, but am uncertain.
- We share our weather data but a signed agreement is not required.
- Our data is freely available. Agreement was questioned by the AG office.
Q8. Does your agency collect real-time field data from maintenance vehicles?
Related PM: Number of State DOTs collecting mobile observations of road weather data from vehicle fleets.
Table 9. State DOT Survey Question 8 and Associated Responses
Answer Options |
# |
% |
Yes |
30 |
76.9% |
No |
9 |
23.1% |
Not Sure/Unknown |
0 |
0.0% |
# Respondents Who Answered Question
39
# Respondents Who Skipped Question
0
Figure 26. Chart. Responses from State department of transportation survey question 8.
Q8.1. If you answered "Yes" to question #8, which of the following data are collected from maintenance vehicles, and from what percentage of the applicable fleets? (Check all that apply):
Related PM: Number of State DOTs collecting mobile observations of road weather data from vehicle fleets.
Table 10. State DOT Survey Question 8.1 and Associated Responses
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100% |
At Least 50% but Less Than 100% |
At Least 25% but Less Than 50% |
Less Than 25% |
Not Collected |
Unsure / Unknown |
Total |
% Collecting Mobile Observations |
Plow Status and Material Usage |
6 |
10 |
3 |
7 |
2 |
1 |
29 |
89.7% |
Atmospheric Weather Data (Air Temperature, Relative Humidity, etc.) |
5 |
10 |
1 |
9 |
2 |
2 |
29 |
86.2% |
Road Weather Conditions Data (Pavement Temperature, etc.) |
5 |
7 |
3 |
10 |
2 |
2 |
29 |
86.2% |
Q9. How many Environmental Sensor Stations (ESS) does your state agency operate statewide?
Related PM: Number of State DOTs reporting the use of Environmental Sensor Stations (ESS) in operations and maintenance activities.
Table 11. State DOT Survey Question 9 and Associated Responses
Total ESS Sites |
2,610 |
# States Responded
35
# States Skipped
3
Q9.1. Describe how you use your ESS (Check all that apply):
Related PM: Number of State DOTs reporting the use of Environmental Sensor Stations (ESS) in operations and maintenance activities.
Table 12. State DOT Survey Question 9.1 and Associated Responses
Answer Options |
# |
% |
Provide Current Conditions to Traveler Information Systems |
21 |
55.3% |
Input for Segment-Level Forecasts |
16 |
42.1% |
Support Traffic Management and Maintenance Decision-Making (e.g., MDSS) |
35 |
92.1% |
Not Sure/Unknown |
0 |
0.0% |
Other |
2 |
5.3% |
# Respondents Who Answered Question
38
# Respondents Who Skipped Question
1
The x-axis shows the percentage of use from 0% to 100% and increases in increments of 20%. The y-axis displays how ESS is used with the categories of Other, Not Sure/Unknown, Support Traffic Management and Maintenance-Decision Making (e.g., MDSS), Input for Segment-Level Forecasts, and Provide Current Conditions to Traveler Information Systems. Support Traffic Management and Maintenance-Decision Making (e.g., MDSS) was the most common ESS use.
Figure 27. Graph. Responses from State department of transportation survey question 9.1.
Q10. Has your agency developed applications or tools that rely on availability of real-time mobile data from vehicle fleets and/or vehicle-to-infrastructure connectivity?
Related PM: Number of/percentage of responding agencies using mobile data-based applications in road weather management.
Table 13. State DOT Survey Question 5 and Associated Reponses
Answer Options |
Percentage |
Developed applications that use both real-time data from vehicle fleets and vehicle-to-infrastructure connectivity |
17% |
Developed applications that use real-time data from vehicle fleets |
28% |
Considering, but Not Yet Developed |
47% |
Not Sure/Unknown |
8% |
Number Responded
36
Number Skipped
3
On the bottom half of the page, a pie graph shows if agencies developed applications for real-time mobile data from vehicle fleets or vehicle-to infrastructure connectivity. Close to half were considering, but had not yet developed an application, over a quarter had developed an application from vehicle fleets, about a sixth had developed an application for real-time mobile data from vehicle fleets or vehicle-to infrastructure connectivity, and about 10% wasn't sure.
Figure 28. Chart. Responses from State department of transportation survey question 10.
Q11. Describe the level of deployment in your agency of the following road weather information strategies. (Check all that apply):
Related PM: Number of states disseminating advisory weather and road weather information to travelers.
Table 14. State DOT Survey Question 10 and Associated Reponses
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Deployed Statewide (or in all applicable locations) |
Limited or Partial Deployment |
Not Yet Deployed |
Unsure / Unknown |
Skipped |
Atmospheric Weather Information on Dynamic Message Signs |
28.2% |
43.6% |
25.6% |
0.0% |
2.6% |
Road Condition Information on Dynamic Message Signs |
59.0% |
38.5% |
0.0% |
2.6% |
0.0% |
Road Condition Information on Highway Advisory Radio |
48.7% |
41.0% |
10.3% |
0.0% |
0.0% |
Road Condition Information on Agency-Hosted Social Media (Twitter, Facebook, etc.) or Mobile Applications |
23.1% |
33.3% |
28.2% |
10.3% |
2.6% |
Road Condition Information on Agency-Hosted Websites or 511 Phone Systems |
76.9% |
15.4% |
2.6% |
5.1% |
0.0% |
# Respondents Who Answered Question
39
# Respondents Who Skipped Question
0
On the top half of the page, a horizontal graph shows Road Weather Information Strategies Level of Deployment. The x-axis ranks the level of deployment on a scale of 0% to 100% and increases in 10% increments. The bars are made up of Deployed Statewide (or in all applicable locations) and Limited or Partial Deployment. The y-axis categorizes the strategies into the categories of Road Condition Information on Agency-Hosted Websites or 511 Phone Systems, Road Condition Information on Agency-Hosted Social Media (Twitter, Facebook etc.) or Mobile Applications, Road Condition Information on Highway Advisory Radio, Road Condition Information on Dynamic Message Signs, and Atmospheric Weather Information on Dynamic Message signs.
Figure 29. Graph. Responses from State department of transportation survey question 11.
Q11.1. Was your agency's decision to deploy any of the road weather information strategies identified influenced by FHWA's Pathfinder initiative?
Related PM: Number of states disseminating advisory weather and road weather information to travelers.
Table 15. State DOT Survey Question 11.1 and Associated Responses
Answer Options |
# |
% |
Yes |
21 |
57% |
No |
10 |
27% |
Not Sure/Unknown |
6 |
16% |
# Respondents Who Answered Question
37
# Respondents Who Skipped Question
2
Figure 30. Chart. Responses from State department of transportation survey question 11.1.
Q12. Has your agency deployed safety warning systems related to road weather events?
Related PM: Number of states disseminating advisory weather and road weather information to travelers.
Table 16. State DOT Survey Question 12 and Associated Responses
Answer Options |
# |
% |
Yes |
19 |
50% |
No |
15 |
39% |
Not Sure/Unknown |
4 |
11% |
# Respondents Who Answered Question
38
# Respondents Who Skipped Question
1
Figure 31. Chart. Responses from State department of transportation survey question 12.
Q12.1. If you answered "Yes" to question #12, please select which types of hazards are included in your agency's safety warning system(s). (Check all that apply):
Related PM: Number of states disseminating advisory weather and road weather information to travelers.
Table 17. State DOT Survey Question 12.1 and Associated Responses
Answer Options |
# |
% |
Icy Roads |
18 |
90% |
Fog |
14 |
70% |
Wind |
11 |
55% |
Dust |
4 |
20% |
Snow |
16 |
80% |
Flood |
13 |
65% |
Other |
2 |
10% |
Not Sure/Unknown |
0 |
0% |
# Respondents Who Answered Question
20
On the top half of the page, a horizontal graph shows agencies that issued safety warnings based upon a variety of hazards. The x-axis shows the percent of agencies from 0% to 100% and increases in increments of 10%. The y-axis shows the hazard categories and includes other, flood, snow, dust, wind, fog, and icy roads. Icy Roads and Snow were the two most popular hazards included.
Figure 32. Graph. Responses from State department of transportation survey question 12.1.
Other responses included:
- Blowing snow. We would also communicate anything else necessary using various messaging methods.
- NWS watches and warnings
Q13. Describe the level of deployment in your agency of the following weather responsive traffic management strategies. (Check all that apply):
Related PM: Number of agencies using control and treatment strategies during weather events.
Table 18. State DOT Survey Question 13 and Associated Responses
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Deployed Statewide (or in All Applicable Locations) |
Limited or Partial Deployment |
Not Yet Deployed |
Unsure/Unknown |
Ramp Meters |
5.3% |
15.8% |
73.7% |
5.3% |
Traffic Signal Timing |
5.1% |
17.9% |
71.8% |
5.1% |
Variable Speed Limits |
2.6% |
34.2% |
63.2% |
0.0% |
Temporary Vehicle Restrictions |
13.5% |
24.3% |
51.4% |
10.8% |
Lane/Road Closure and Traffic Diversions |
32.4% |
37.8% |
21.6% |
8.1% |
Traffic Incident Management |
46.2% |
43.6% |
5.1% |
5.1% |
# Respondents Who Answered Question
39
# Respondents Who Skipped Question
0
A figure on the bottom half of the page shows weather responsive traffic management strategies deployment levels. The x-axis shows the percentage ranking scale from 0% to 90% that increases in increments of 10% and rates the two categories that make the up the bars including deployed statewide (or in all applicable locations) and limited or partial deployment. The y-axis shows the strategies including traffic incident management, lane/road closure and traffic diversions, temporary vehicle restrictions, variable speed limits, traffic signal timing, and ramp meters. Traffic incident management was the most popular strategy with a total of about 90% evenly divided between the two categories that make up the bar.
Figure 33. Graph. Responses from State department of transportation survey question 13.
Q14. Describe your level of interaction with the National Weather Service local forecast offices for road weather management and operations activities.
Related PM: Number of agencies that coordinate with their local forecast offices for road weather management and operations.
Table 19. State DOT Survey Question 14 and Associated Responses
Answer Options |
Percentage |
Rely only on publicity available information via media and NWS, but no direct interaction or coordination |
0.0% |
Limited coordination and only during major weather events |
7.7% |
Routine coordination. Have access to meteorological expertise to assist with decision-making for most events |
71.8% |
Not sure/unknown |
0.0% |
Starting to work with local NWS offices and other weather agencies, but limited to major events |
20.5% |
Total
39
Number Skipped
0
Figure 34. Chart. Responses from State department of transportation survey question 14.
Q15. Does your agency use a winter Maintenance Decision Support System (MDSS) for snow and ice control? A winter MDSS includes software that proves strategic and tactical weather forecasts, supports treatment decision making and provides summary reports of weather event performance.
Related PM: Number of agencies adopting MDSS technologies and methods.
Table 20. State DOT Survey Question 15 and Associated Responses
Answer Options |
Percentage |
Yes — Use an MDSS Statewide |
33.3% |
Yes — Use an MDSS, but Not Statewide |
12.8% |
No — Need an MDSS, but Currently Do Not Have a System |
17.9% |
No — Do Not Need an MDSS |
28.2% |
Not Sure/Unknown |
7.7% |
Total
39
Number Skipped
0
Figure 35. Chart. Responses from State department of transportation survey question 15.
Q15.1. If you answered "No — need an MDSS, but currently do not have a system" to question #15, please provide the reason(s)for the lack of implementation.
Related PM: Number of agencies adopting MDSS technologies and methods.
- Currently working on getting one established; Connecticut DOT is waiting for State Administrative Services to complete pending contract with a vendor
- Lack of accurate forecast due to region of country; border cold and warm states
- Agree with the concept. Current systems do not appear to be a good match at this time. (i.e., waiting for more kinks to get worked out)
- Not enough ITS build-out
- Confidence in available off-the-shelf mobile systems
- Not sure we 100% need one but are interested in testing application
- Perceived value of MDSS doesn't equal cost to implement
- Probably due to the fact that the need is very limited. There are a couple of relatively mild winter weather events in only certain parts of Texas each year. An MDSS would be helpful but the benefit may not justify the costs. Funding
Q16. Does your agency use other decision support tools (besides a winter MDSS) for road weather management? If yes, what are these tools used for? (Check all that apply):
Related PM: Number of agencies using other weather-related decision support tools.
Table 21. State DOT Survey Question 16 and Associated Responses
Answer Options |
Percentage |
None |
15.4% |
Providing Traveler Information |
61.5% |
Coordination with Other Jurisdictions/Agencies |
53.8% |
Supporting Non-Winter Maintenance Activities (e.g., Maintenance Scheduling, Construction Coordination) |
43.6% |
Traffic Control and Management (e.g., Speed Limit Determination, Signal Timing Plans, Ramp Metering Rates) |
25.6% |
Setting Seasonal Load Restrictions |
23.1% |
Not Sure/Unknown |
5.1% |
Other |
7.7% |
Total
39
Number Skipped
0
A horizontal table shows agencies that use other decision support tools besides MDSS for road weather management. The x-axis shows the percentage of agencies other tools from 0% to 70% and increases in increments of 10%. The y-axis shows the other tools used including other, not sure/unknown, setting seasonal load restrictions, traffic control management, supporting non-winter maintenance activities, coordination with other jurisdictions/agencies, providing traveler information, and none. Supporting non-winter maintenance activities, coordination with other jurisdictions/agencies, and providing traveler information all ranked the highest by far.
Figure 36. Graph. Responses from State department of transportation survey question 16.
Other responses included:
- Flood/disaster response
- The INRIX data is impacted by weather events as vehicles slow, incidents increase, etc. Directly feeds travel times on our DMS boards, color corridor goes from green to yellow to red during (bad/extreme conditions) weather events.
- Route Optimization
Q17. What types of traffic analysis and simulation tools does your agency use for planning and evaluating road weather management strategies? (Check all that apply):
Related PM: Number of agencies reporting use of appropriate analysis tools to factor weather impacts and strategies.
Table 22. State DOT Survey Question 17 and Associated Responses
Answer Options |
Percentage |
None |
35.1% |
Sketch-Planning Analysis Tools |
2.7% |
Travel Demand Analysis Tools |
2.7% |
Macroscopic Simulation Models |
2.7% |
Mesoscopic Simulation Models |
2.7% |
Microscopic Simulation Models |
2.7% |
Deterministic Analysis Tools (HCM-Based) |
0.0% |
Traffic Signal Optimization Tools |
13.5% |
Not Sure/Unknown |
48.6% |
Other |
0.0% |
Total
37
Number Skipped
2
A horizontal bar graph on the bottom half of the page shows traffic analysis and simulation tools used by agencies for planning and evaluating road weather management strategies. The x-axis shows percent of agencies using the tool and goes from 0% to 60% in 10% increments. The y-axis shows the type of tools including other, not sure/unknown, traffic signal optimization tools, deterministic analysis tools (HCM based), microscopic simulation tools, mesoscopic simulation tools, macroscopic simulation tools, travel demand analysis tools, sketch-planning analysis tools, and none. Traffic signal optimization tools were the most popular tool.
Figure 37. Graph. Responses from State department of transportation survey question 17.
Q18. Has your agency (and, in particular, road weather management related staff) participated in extreme weather, transportation resilience, or climate adaptation practices/reviews?
Related PM: Number of agencies conducting vulnerability/risk assessment or developing/implementing resiliency plans, for their road weather management infrastructure and processes to respond to extreme weather.
Table 23. State DOT Survey Question 18 and Associated Responses
Answer Options |
Percentage |
Conducted a Vulnerability/Risk Assessment for Road Weather Management Infrastructure |
25% |
Developed/Implemented Process for Responding to Extreme Weather |
47% |
Developed/Implemented Resiliency Plans for Road Weather Management Infrastructure |
28% |
Participated in State DOT Resilience Adaptation Planning Activities |
22% |
Agency Has Not Participated in Development of Adaptation Practices |
11% |
Not Sure/Unknown |
25% |
Total
36
Number Skipped
3
The horizontal bar graph shows agencies that have participated in extreme weather, transportation resilience, or climate adaptation practices/reviews. The x-axis ranks the percent of agencies that have participated in the activity from 0% to 50% and increases in increments of 5%. The y-axis categorizes the extent of their participation with the categories not sure/unknown, agency has not participated in development of adaptation practices, participated in state DOT resilience adaptation planning activities, developed/implemented resiliency plans for road weather management infrastructure, developed/implemented process for responding to extreme weather, and conducted a vulnerability/risk assessment for road weather management infrastructure. By far, most agencies had participated in the development/implementation of a process for responding to extreme weather with over 45% of agencies having done so.
Figure 38. Graph. Responses from State department of transportation survey question 18.
Q19. Would you be willing to participate in the next update of this survey?
Related PM: Number of agencies that have a process for evaluating the return on investment (ROI) or net benefit of their road weather management investments.
Table 24. State DOT Survey Question 12 and Associated Responses
Answer Options |
# |
% |
Yes |
37 |
97% |
No |
0 |
0% |
Not Sure/Unknown |
1 |
3% |
# Respondents Who Answered Question
38
# Respondents Who Skipped Question
1