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

Accurate estimation of transportation flow is a challenging task in Intelligent Transportation Systems (ITS). Transporting data with dynamic spatial-temporal dependencies elevates transportation flow forecasting to a significant issue for operational planning, managing passenger flow, and arranging...

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Detalles Bibliográficos
Autores principales: Drosouli, Ifigenia, Voulodimos, Athanasios, Mastorocostas, Paris, Miaoulis, Georgios, Ghazanfarpour, Djamchid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490678/
https://www.ncbi.nlm.nih.gov/pubmed/37687992
http://dx.doi.org/10.3390/s23177534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490678/
https://www.ncbi.nlm.nih.gov/pubmed/37687992
http://dx.doi.org/10.3390/s23177534

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