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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41237719 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang+N%22">Zhang N</searchLink>; Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China. Electronic address: zhangn@emails.bjut.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wu+Y%22">Wu Y</searchLink>; Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China. Electronic address: wuyiping@bjut.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yang+A%22">Yang A</searchLink>; Tianjin Road Transport Development Service Center, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Liu+T%22">Liu T</searchLink>; Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%221254476%22">Accident; analysis and prevention</searchLink> [Accid Anal Prev] 2026 Feb; Vol. 225, pp. 108306. <i>Date of Electronic Publication: </i>2025 Nov 13. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>1254476 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2057 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200014575%22">00014575 </searchLink><i>NLM ISO Abbreviation: </i>Accid Anal Prev <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41237719 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.aap.2025.108306 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 108306 Titles: – TitleFull: 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang N – PersonEntity: Name: NameFull: Wu Y – PersonEntity: Name: NameFull: Yang A – PersonEntity: Name: NameFull: Liu T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Feb Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-2057 Numbering: – Type: volume Value: 225 Titles: – TitleFull: Accident; analysis and prevention Type: main |
| ResultId | 1 |
