Spatial-temporal hypergraph convolutional network for traffic forecasting

Accurate traffic forecasting plays a critical role in the construction of intelligent transportation systems. However, due to the across road-network isomorphism in the spatial dimension and the periodic drift in the temporal dimension, existing traffic forecasting methods cannot satisfy the intrica...

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Detalles Bibliográficos
Autores principales: Zhao, Zhenzhen, Shen, Guojiang, Zhou, Junjie, Jin, Junchen, Kong, Xiangjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403163/
https://www.ncbi.nlm.nih.gov/pubmed/37547413
http://dx.doi.org/10.7717/peerj-cs.1450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403163/
https://www.ncbi.nlm.nih.gov/pubmed/37547413
http://dx.doi.org/10.7717/peerj-cs.1450

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