Evaluation of the optimal quantity of in-vehicle information icons using a fuzzy synthetic evaluation model in a driving simulator.

Chen, Jiawen; Wang, Xuesong; Cheng, Zhouyang; Gao, Yan; Tremont, Paul J

Chen, Jiawen; Wang, Xuesong; Cheng, Zhouyang; Gao, Yan; Tremont, Paul J.

Afiliación

Chen J; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China; School of Transportation Engineering, Tongji University, Shanghai 201804, China.
Wang X; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China; School of Transportation Engineering, Tongji University, Shanghai 201804, China; Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, China. Electronic address: wangxs@tongji.edu.cn.
Cheng Z; Huawei Technologies Co Ltd, Shenzhen 518129, China.
Gao Y; Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214151, China; National Engineering Laboratory for Integrated Optimization of Road Traffic and Safety Analysis Technologies, 88 Qianrong Rd, Wuxi 214151, China.
Tremont PJ; School of Transportation Engineering, Tongji University, Shanghai 201804, China.

Accid Anal Prev ; 176: 106813, 2022 Oct.

Article en En | MEDLINE | ID: mdl-36054983

Asunto(s)

Accidentes de Tránsito; Conducción de Automóvil; Accidentes de Tránsito/prevención & control; Análisis de Varianza; Conducción de Automóvil/psicología; Humanos

Palabras clave

Fuzzy synthetic evaluation model; Human machine interface; Icon quantity; In-vehicle information

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / Accidentes de Tránsito Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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