A Spatial-Temporal Graph Convolutional Recurrent Network for Transportation Flow Estimation.

Drosouli, Ifigenia; Voulodimos, Athanasios; Mastorocostas, Paris; Miaoulis, Georgios; Ghazanfarpour, Djamchid

Drosouli, Ifigenia; Voulodimos, Athanasios; Mastorocostas, Paris; Miaoulis, Georgios; Ghazanfarpour, Djamchid.

Afiliação

Drosouli I; Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece.
Voulodimos A; Department of Informatics, University of Limoges, 87032 Limoges, France.
Mastorocostas P; School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, Greece.
Miaoulis G; Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece.
Ghazanfarpour D; Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece.

Sensors (Basel) ; 23(17)2023 Aug 30.

Article em En | MEDLINE | ID: mdl-37687992

Palavras-chave

LSTΜ; bike-sharing system dataset; deep learning; graph convolutional networks; metro dataset; spatial-temporal dependencies; transportation flow estimation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Grécia

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