Crash root-cause identification via trace-rewarded causation chain reasoning large language model.

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Bibliographic Details
Title: Crash root-cause identification via trace-rewarded causation chain reasoning large language model.
Authors: Xie N; College of Transportation, Tongii University, 201804 Shanghai, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao'an Road, 201804 Shanghai, China. Electronic address: 2011381@tongji.edu.cn., Huang J; Sichuan Dazhou-Shanxi Expressway Limited Liability Company, Sichuan, China. Electronic address: 695767734@qq.com., Zhou X; Sichuan Vocational and Technical College of Communications, Sichuan, China. Electronic address: 36535270@qq.com., Yu R; College of Transportation, Tongii University, 201804 Shanghai, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao'an Road, 201804 Shanghai, China. Electronic address: yurongjie@tongji.edu.cn.
Source: Accident; analysis and prevention [Accid Anal Prev] 2026 Aug; Vol. 233, pp. 108586. Date of Electronic Publication: 2026 May 15.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2057
DOI:10.1016/j.aap.2026.108586