Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups.

Ma, Wanjing; He, Ziliang; Wang, Ling; Abdel-Aty, Mohamed; Yu, Chunhui

Ma, Wanjing; He, Ziliang; Wang, Ling; Abdel-Aty, Mohamed; Yu, Chunhui.

Afiliación

Ma W; The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, China.
He Z; The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, China.
Wang L; The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, China. Electronic address: wang_ling@tongji.edu.cn.
Abdel-Aty M; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, USA.
Yu C; The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, China; Shenzhen Genvict Technology Co., Ltd, China.

Accid Anal Prev ; 163: 106421, 2021 Dec.

Article en En | MEDLINE | ID: mdl-34662834

Asunto(s)

Accidentes de Tránsito; Conducción de Automóvil; Accidentes de Tránsito/prevención & control; Simulación por Computador; Humanos; Administración de la Seguridad

Palabras clave

Connected vehicles; Coordination of ramp metering and variable speed limit; Crash risk of moving vehicle group; METANET model; Ramp metering; Variable speed limit

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducción de Automóvil / Accidentes de Tránsito Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2021 Tipo del documento: Article País de afiliación: China

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