Young Novice Drivers' Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Behavior.

Xue, Qingwan; Wang, Xingyue; Li, Yinghong; Guo, Weiwei

Xue, Qingwan; Wang, Xingyue; Li, Yinghong; Guo, Weiwei.

Afiliación

Xue Q; Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China.
Wang X; Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China.
Li Y; Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China.
Guo W; Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China.

Sensors (Basel) ; 23(3)2023 Jan 25.

Article en En | MEDLINE | ID: mdl-36772384

Asunto(s)

Conducción de Automóvil; Conducción Distraída; Humanos; Atención; Máquina de Vectores de Soporte; Bosques Aleatorios; Cognición; Accidentes de Tránsito/prevención & control

Palabras clave

distraction driving; random forest model; support vector machines; vehicle control behavior; young novice driver

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conducción de Automóvil / Conducción Distraída Tipo de estudio: Clinical_trials / Diagnostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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