Examining the Pre-Crash Circumstances Leading to Pedestrian Fatalities
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Abstract
The objective of this research is to examine the pre-crash conditions leading to pedestrian fatalities by utilizing data sources beyond traditional crash databases. The research approach will utilize a variety of traditional and non-traditional data sources including crash data (including narratives and diagrams), roadway inventory data, traffic volume data, Google Street View, land use and access data, socio-economic and demographic data, and media reports. The results of this research will help practitioners prioritize recommended actions or countermeasures most likely to be effective and most beneficial to reducing pedestrian fatalities. © 2025 AAA Foundation for Traffic Safety | AAAFoundation.org Project Team Texas A&M Transportation Institute Minh Le (Principal Investigator) AAA Foundation for Traffic Safety Lindsay Arnold (Project Manager) Period of Performance Q4 2025 – Q2 2027
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | AAA Foundation for Traffic Safety | — | — | 1 | 2026-06-20 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 87 | 2026-07-02 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | skipped | — | — | — | 1 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | skipped | llm | qwen3.6-27b-nvidia | summ-v5 | 86 | 2026-07-02 |
| tag | success | vector_similarity | — | — | 11 | 2026-06-26 |
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- Empirical Findings: crash risk outcomes