BGCP-based traffic data imputation and accident detection applications for the national trunk highway.

Qi, Hang; Zhao, Xiaohua; Yao, Ying; Yang, Haiyi; Chai, Shushan; Chen, Xuehui

Qi, Hang; Zhao, Xiaohua; Yao, Ying; Yang, Haiyi; Chai, Shushan; Chen, Xuehui.

Afiliação

Qi H; Beijing Key Laboratory of Traffic Engineering and the College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China.
Zhao X; Beijing Key Laboratory of Traffic Engineering and the College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China.
Yao Y; Beijing Key Laboratory of Traffic Engineering and the College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China. Electronic address: yaoying@bjut.edu.cn.
Yang H; Beijing Key Laboratory of Traffic Engineering and the College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China.
Chai S; Research Institute for Road Safety of MPS, Beijing 100062, China.
Chen X; Shandong Hi-speed Company Limited, No. 29 Wenhua East Road, Jinan 250014, PR.China.

Accid Anal Prev ; 186: 107051, 2023 Jun.

Article em En | MEDLINE | ID: mdl-37019035

Assuntos

Acidentes de Trânsito; Meios de Transporte; Humanos; Acidentes de Trânsito/prevenção & controle; Teorema de Bayes; Tempo (Meteorologia); China

Palavras-chave

Accident detection; BGCP; Missing data imputation; Spatiotemporal traffic data; XGBoost

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Meios de Transporte / Acidentes de Trânsito Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Accid Anal Prev Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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