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Multi-source Spatio-temporal Hybrid Dilated Graph Convolutional Network for Traffic Speed Forecasting

Auteur(s): (School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
Médium: article de revue
Langue(s): anglais
Publié dans: Proceedings of the Institution of Civil Engineers - Transport, , n. 2, v. 177
Page(s): 1-25
DOI: 10.1680/jtran.21.00024
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1680/jtran.21.00024.
  • Informations
    sur cette fiche
  • Reference-ID
    10639193
  • Publié(e) le:
    30.11.2021
  • Modifié(e) le:
    24.04.2024
 
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