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Cross-Attention Fusion Based Spatial-Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

Accurate traffic flow prediction is essential to building a smart transportation city. Existing research mainly uses a given single-graph structure as a model, only considers local and static spatial dependencies, and ignores the impact of dynamic spatio-temporal data diversity. To fully capture the...

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Detalles Bibliográficos
Autores principales:	Yu, Kun, Qin, Xizhong, Jia, Zhenhong, Du, Yan, Lin, Mengmeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708434/ https://www.ncbi.nlm.nih.gov/pubmed/34960560 http://dx.doi.org/10.3390/s21248468

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