USRAP Pilot Program Phase III
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Summary
This report details the findings of Phase III of the U.S. Road Assessment Program (usRAP) Pilot Program, conducted by the AAA Foundation for Traffic Safety to evaluate the feasibility of systematic road safety assessment in the United States. Motivated by the need to prioritize limited highway safety funds and comply with federal requirements under SAFETEA-LU to identify high-risk road locations, the study aims to reduce deaths and serious injuries by identifying major safety shortcomings. The program builds on previous phases and international models like EuroRAP and AusRAP, testing whether systematic assessment protocols can effectively inform motorists and guide agency investment decisions. The research employed two primary methodologies: risk mapping and star rating validation. Risk mapping was applied to highway systems in Illinois, Kentucky, New Mexico, and Utah, utilizing four specific risk measures derived from crash history, road type, section length, and traffic volume. These measures included crash density, crash rates per hundred million vehicle-miles, ratios to average crash rates for similar roads, and potential crash savings if rates were reduced to averages. Additionally, the study validated the "star rating" protocol, which assesses how well road design features protect users, using roadway and crash datasets from Iowa and Washington. The validation analyzed various roadway types, including two-lane undivided roads, four-lane undivided and divided roads, and freeways, across rural and urban areas. The results demonstrated that risk maps effectively visualize safety performance, allowing for the identification of high-risk segments and specific crash types such as alcohol-involved, roadway-departure, and speed-related crashes. The star rating validation study found a strong correlation between star ratings and crash rates. Specifically, lower star ratings were associated with significantly higher crash rates for vehicle occupants, head-on collisions, run-off-road incidents, and junction crashes across all analyzed roadway types. For instance, vehicle-occupant crash rates increased substantially as star ratings decreased from five to one. The study also confirmed that the protocols could be adapted to address state-specific concerns, such as aggressive driving or unrestrained occupant crashes. The significance of this work lies in providing a validated, systematic tool for highway agencies to identify the 5 percent of road locations with the most severe safety needs, as required by federal legislation. The findings support the implementation of usRAP as a cooperative effort between highway agencies and auto clubs to drive public dialogue and secure funding for safety improvements. By linking road design features to crash outcomes through star ratings and visualizing risk through mapping, the program offers a practical framework for targeting improvements, monitoring performance over time, and ultimately reducing fatalities and serious injuries on U.S. roads.
Key finding
Validation using Iowa and Washington data shows crash rates generally decrease as star ratings increase for major roadway types, while risk maps effectively identify the highest-risk 5% of road networks for SAFETEA-LU reporting.
Methodology
field_study
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_aaa_foundation on 2026-05-23 (9 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | aaa_foundation | — | — | 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 | skipped | pubmed | — | — | 5 | 2026-05-27 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- incidence prevalence
- comparative international
- demographic disparities
- urban rural setting
- crash typology
- induced exposure
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