MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction

The spatial–temporal prediction of traffic flow is very important for traffic management and planning. The most difficult challenges of traffic flow prediction are the temporal feature extraction and the spatial correlation extraction of nodes. Due to the complex spatial correlation between differen...

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Detalles Bibliográficos
Autores principales: Huang, Xiaohui, Wang, Junyang, Lan, Yuanchun, Jiang, Chaojie, Yuan, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861593/
https://www.ncbi.nlm.nih.gov/pubmed/36679639
http://dx.doi.org/10.3390/s23020841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861593/
https://www.ncbi.nlm.nih.gov/pubmed/36679639
http://dx.doi.org/10.3390/s23020841

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