ST-AFN: a spatial-temporal attention based fusion network for lane-level traffic flow prediction

Traffic flow prediction is the foundation of many applications in smart cities, and the granular precision of traffic flow prediction has to be enhanced with refined applications. However, most of the existing researches cannot meet these requirements. In this paper, we propose a spatial-temporal at...

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Detalles Bibliográficos
Autores principales: Shen, Guojiang, Yu, Kaifeng, Zhang, Meiyu, Kong, Xiangjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080424/
https://www.ncbi.nlm.nih.gov/pubmed/33981838
http://dx.doi.org/10.7717/peerj-cs.470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080424/
https://www.ncbi.nlm.nih.gov/pubmed/33981838
http://dx.doi.org/10.7717/peerj-cs.470

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