Travel demand and distance analysis for free-floating car sharing based on deep learning method.

Zhang, Chen; He, Jie; Liu, Ziyang; Xing, Lu; Wang, Yinhai

Zhang, Chen; He, Jie; Liu, Ziyang; Xing, Lu; Wang, Yinhai.

Afiliación

Zhang C; School of Transportation, Southeast University, Dongnandaxuelu, Nanjing, P.R. China.
He J; School of Transportation, Southeast University, Dongnandaxuelu, Nanjing, P.R. China.
Liu Z; School of Transportation, Southeast University, Dongnandaxuelu, Nanjing, P.R. China.
Xing L; School of Transportation, Southeast University, Dongnandaxuelu, Nanjing, P.R. China.
Wang Y; Smart Transportation Applications and Research Laboratory, Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, United States of America.

PLoS One ; 14(10): e0223973, 2019.

Article en En | MEDLINE | ID: mdl-31618244

Asunto(s)

Viaje/clasificación; Viaje/estadística & datos numéricos; Automóviles; Aprendizaje Profundo; Humanos; Modelos Estadísticos; Redes Neurales de la Computación; Máquina de Vectores de Soporte; Washingtón

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Viaje Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article

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