Crash data augmentation using variational autoencoder.

Islam, Zubayer; Abdel-Aty, Mohamed; Cai, Qing; Yuan, Jinghui

Islam, Zubayer; Abdel-Aty, Mohamed; Cai, Qing; Yuan, Jinghui.

Afiliación

Islam Z; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: zubayer_islam@knights.ucf.edu.
Abdel-Aty M; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: M.Aty@ucf.edu.
Cai Q; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: qingcai@knights.ucf.edu.
Yuan J; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: jinghuiyuan@knights.ucf.edu.

Accid Anal Prev ; 151: 105950, 2021 Mar.

Article en En | MEDLINE | ID: mdl-33370603

Asunto(s)

Accidentes de Tránsito; Algoritmos; Humanos; Modelos Logísticos; Redes Neurales de la Computación; Máquina de Vectores de Soporte

Palabras clave

Crash prediction; Data augmentation; Variational autoencoder

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accidentes de Tránsito Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido

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