aceEvidence-grounded road safety countermeasure recommendation from crash-context queries: A modular LLM framework
Traffic safety countermeasure recommendation requires simultaneous consideration of crash context, roadway facility, traffic control, operating conditions, and evidence applicability. Traditional rule-based and keyword-matching methods have difficulty processing natural-language crash-context queries. This study proposes an evidence-grounded and mechanism-aware framework that formulates traffic safety countermeasure recommendation as the construction, selection, and ranking of CMF Evidence Cards. A structured CM…
A fine-tuned Qwen3-32B framework retrieved and ranked CMF Evidence Cards for crash-context queries, placing the exact evidence in its top three in 76.15% of cases and beating a BM25-RAG baseline.
The authors identify evidence retrieval as a limitation in specialized contexts such as work zones, and exact-evidence top-1 accuracy was only 53.14%.
Evidence
- Peer-reviewedAccident Analysis & Prevention2026-10-17
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Truvace Impact Record TRV-2026-1806, v1: “Evidence-grounded road safety countermeasure recommendation from crash-context queries: A modular LLM framework.” Truvace, 2026-10-18. /record/TRV-2026-1806 (accessed at citation time). sha256 9d8f739d73dfbc7e…
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