Limited Analysis of the Wyoming Department of Transportation Connected Vehicle Pilot Safety Applications
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Summary
This report presents a limited safety analysis of the Wyoming Department of Transportation (WYDOT) Connected Vehicle Pilot (CVP) site, conducted by the Volpe National Transportation Systems Center. The study evaluates the performance of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) safety applications deployed along Interstate 80 (I-80), a high-elevation corridor prone to extreme weather. The primary motivation was to assess the impact of these technologies on traffic safety, specifically focusing on Forward Collision Warning (FCW) alerts and Traveler Information Messages (TIMs) such as situational awareness, work zone warnings, and spot weather impact warnings. Due to schedule constraints, this analysis was less detailed than those conducted for other CVP sites. The experimental design compared data from a baseline period (January–April 2017) with a treatment period (January–April 2022), during which 327 vehicles were equipped with CV technology and 76 roadside units were deployed. The analysis utilized naturalistic driving data, including Basic Safety Messages (BSM) and CV event logs, alongside traffic speed data from 64 roadside radars. The researchers filtered 490 distinct FCW events to identify 327 valid events where the host vehicle was approaching a remote vehicle. For V2I applications, the study analyzed 128,591 TIM alerts, categorizing them by speed limits, traffic conditions, weather, and work zones. Key findings indicate that 67% of distinct FCW events were valid based on speed data. In 30% of these valid events, the driving conflict was resolved within 10 seconds of the alert. However, 70% of events remained unresolved within this window, often due to high closing speeds or lane changes. Among resolved events, the median time to resolve conflict was 6.55 seconds. Regarding driver response, 85% of valid FCW events resulted in a host vehicle speed reduction of at least 5 mph, with an average response time of 2 seconds and mean deceleration of 0.11 g. Notably, brake activation data were unavailable, limiting precise braking analysis. For TIM alerts, weather conditions accounted for 65% of all alerts. A significant portion of traffic and weather alerts were issued to vehicles traveling below 9 mph and 18 mph, respectively. Traffic speed analysis revealed that average speeds on I-80 were approximately 1 m/s (2.2 mph) higher in 2022 compared to 2017, with statistically significant differences observed during peak travel hours. The significance of this study lies in its empirical assessment of CV safety applications in a challenging, high-altitude environment. The results demonstrate that FCW alerts effectively trigger speed reductions in the majority of cases, though conflict resolution varies significantly with closing speed. The high volume of weather-related TIM alerts underscores the relevance of V2I technology for mitigating weather-related risks on I-80. The findings provide baseline performance metrics for FCW and TIM applications, informing future deployments and highlighting the need for more granular data, such as brake activation records, to fully characterize driver behavior.
Key finding
The analysis of 327 valid forward collision warning events showed that 30 percent were resolved within 10 seconds and 85 percent resulted in a speed reduction of at least 5 mph, while traffic speed comparisons between 2017 and 2022 indicated statistically significant increases in average speed and decreases in time headway.
Methodology
naturalistic
Sample size: 327
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource