Development of a bus real-time crash risk prediction framework by using a self-attention-based bidirectional long and short-term memory network with anomaly detection learning and mixed sequence features.
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| Title: | Development of a bus real-time crash risk prediction framework by using a self-attention-based bidirectional long and short-term memory network with anomaly detection learning and mixed sequence features. |
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| Authors: | Zhang N; Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China. Electronic address: zhangn@emails.bjut.edu.cn., Wu Y; Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China. Electronic address: wuyiping@bjut.edu.cn., Yang A; Tianjin Road Transport Development Service Center, Tianjin, China., Liu T; Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China. |
| Source: | Accident; analysis and prevention [Accid Anal Prev] 2026 Feb; Vol. 225, pp. 108306. Date of Electronic Publication: 2025 Nov 13. |
| 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 |
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