Highway safety performance metrics and emergency response in an advanced transportation environment : final report.
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Summary
This report addresses the evolving landscape of highway safety and emergency response within an advanced transportation environment characterized by connected vehicles, autonomous systems, and active traffic management. The research is motivated by the anticipated reduction in fatal and serious injury crashes due to technological advancements, which necessitates the development of alternative safety performance metrics. Furthermore, the study recognizes that despite improved vehicle safety, emergency medical services (EMS) will continue to require roadway access for non-crash-related incidents and occasional system failures. The authors aim to evaluate how emerging technologies can enhance emergency response operations and public perception during the transition to automated transportation systems. The methodology involves a comprehensive review of state-of-the-art technologies, including vehicle-based sensors (radar, LIDAR, ultrasound, computer vision), Advanced Driver Assistance Systems (ADAS), autonomous vehicle frameworks, and infrastructure-based active traffic management. The report analyzes the operational strengths and limitations of these technologies, specifically assessing their utility for EMS vehicles. It examines NHTSA’s five levels of vehicle automation and reviews current initiatives such as the Dynamic Mobility Applications (DMA) and Dedicated Short Range Communication (DSRC) protocols. The study also considers the unique driving environment of emergency vehicles, which often operate outside standard traffic rules, and evaluates how ADAS warnings and automated responses might interact with ambulance operations. Key findings indicate that while many ADAS technologies offer high utility for EMS, such as forward collision warning and blind spot detection, others like lane keeping assist may have mixed or low utility due to the need for ambulances to weave through traffic or violate lane markings. The report highlights that haptic or heads-up display warnings are likely more effective than audio alerts in the noisy ambulance environment. Regarding autonomous vehicles, the study notes that widespread adoption could increase highway capacity but requires revised protocols for EMS priority, such as managed lane entry rather than requiring all vehicles to stop. The authors identify that infrastructure-based radar and DSRC-enabled signal preemption can significantly improve emergency vehicle transit times and safety. Additionally, the report suggests that traditional safety metrics based on fatalities are becoming inadequate, urging the adoption of measures that account for the changing nature of incidents in a connected vehicle ecosystem. The significance of this work lies in its guidance for integrating smart technologies into emergency response protocols to maintain public support and operational efficiency. By identifying specific technologies and scenarios, the report provides a framework for planners and policymakers to prepare for the incremental deployment of automated systems. It emphasizes that successful integration of EMS into advanced transportation networks is crucial for the broader acceptance of autonomous and connected vehicle technologies. The findings underscore the need for updated regulations and performance measures that reflect the reduced severity of future crashes while ensuring that emergency responders can operate effectively amidst mixed traffic conditions.
Key finding
Traditional highway safety metrics based on fatalities and serious injuries may become inadequate as connected vehicle technologies reduce severe crashes, necessitating alternative performance measures and updated emergency response protocols.
Methodology
review
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.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- emergency work zone conspicuity
- v2x connected vehicle
- adas effectiveness
- naturalistic crash near crash
- situational awareness
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource