Advances and applications of computer vision techniques in vehicle trajectory generation and surrogate traffic safety indicators.

Abdel-Aty, Mohamed; Wang, Zijin; Zheng, Ou; Abdelraouf, Amr

Abdel-Aty, Mohamed; Wang, Zijin; Zheng, Ou; Abdelraouf, Amr.

Afiliação

Abdel-Aty M; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address: m.aty@ucf.edu.
Wang Z; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address: zijinwang@knights.ucf.edu.
Zheng O; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address: ouzheng1993@knights.ucf.edu.
Abdelraouf A; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address: amr.abdelraouf@knights.ucf.edu.

Accid Anal Prev ; 191: 107191, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37423140

Assuntos

Acidentes de Trânsito; Condução de Veículo; Humanos; Acidentes de Trânsito/prevenção & controle; Segurança; Meios de Transporte; Computadores; Algoritmos

Palavras-chave

Computer vision; Safety analysis; Surrogate safety measures; Traffic conflicts; Vehicle trajectories

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Condução de Veículo / Acidentes de Trânsito Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Accid Anal Prev Ano de publicação: 2023 Tipo de documento: Article

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