An integrated approach of machine learning and Bayesian spatial Poisson model for large-scale real-time traffic conflict prediction.

Li, Dongya; Fu, Chuanyun; Sayed, Tarek; Wang, Wei

Li, Dongya; Fu, Chuanyun; Sayed, Tarek; Wang, Wei.

Afiliação

Li D; School of Transportation, Southeast University, China; Department of Civil Engineering, The University of British Columbia, Canada.
Fu C; School of Transportation Science and Engineering, Harbin Institute of Technology, China; Department of Civil Engineering, The University of British Columbia, Canada. Electronic address: fcy1128@mail.ubc.ca.
Sayed T; Department of Civil Engineering, The University of British Columbia, Canada.
Wang W; School of Transportation, Southeast University, China.

Accid Anal Prev ; 192: 107286, 2023 Nov.

Article em En | MEDLINE | ID: mdl-37690284

Assuntos

Acidentes de Trânsito; Algoritmos; Humanos; Teorema de Bayes; Acidentes de Trânsito/prevenção & controle; Aprendizado de Máquina; Algoritmo Florestas Aleatórias

Palavras-chave

Bayesian spatial Poisson model; Integrated approach; Large-scale; Machine learning; Real-time conflict prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Acidentes de Trânsito Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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