Road traffic flow prediction based on dynamic spatiotemporal graph attention network

To improve the prediction accuracy of traffic flow under the influence of nearby time traffic flow disturbance, a dynamic spatiotemporal graph attention network traffic flow prediction model based on the attention mechanism was proposed. Considering the macroscopic periodic characteristics of traffi...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yuguang, Huang, Jintao, Xu, Hongbin, Guo, Jincheng, Su, Linyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484953/
https://www.ncbi.nlm.nih.gov/pubmed/37679482
http://dx.doi.org/10.1038/s41598-023-41932-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484953/
https://www.ncbi.nlm.nih.gov/pubmed/37679482
http://dx.doi.org/10.1038/s41598-023-41932-6

Ejemplares similares