Real-Time Driving Behavior Identification Based on Multi-Source Data Fusion.

Ma, Yongfeng; Xie, Zhuopeng; Chen, Shuyan; Wu, Ying; Qiao, Fengxiang

Ma, Yongfeng; Xie, Zhuopeng; Chen, Shuyan; Wu, Ying; Qiao, Fengxiang.

Afiliación

Ma Y; Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China.
Xie Z; Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China.
Chen S; Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China.
Wu Y; Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China.
Qiao F; Innovative Transportation Research Institute, Texas Southern University, Houston, TX 77004, USA.

Int J Environ Res Public Health ; 19(1)2021 12 29.

Article en En | MEDLINE | ID: mdl-35010606

Asunto(s)

Accidentes de Tránsito; Conducción de Automóvil; Aceleración; Algoritmos; Redes Neurales de la Computación

Palabras clave

data fusion; driver expression data; online car-hailing; real-time driving behavior identification; stacked long short-term memory network; time window

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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: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Int J Environ Res Public Health Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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