Multitask Learning and GCN-Based Taxi Demand Prediction for a Traffic Road Network

The accurate forecasting of urban taxi demands, which is a hot topic in intelligent transportation research, is challenging due to the complicated spatial-temporal dependencies, the dynamic nature, and the uncertainty of traffic. To make full use of the global and local correlations between traffic...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Zhe, Zhao, Bin, Wang, Yuehan, Duan, Zongtao, Zhao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374365/
https://www.ncbi.nlm.nih.gov/pubmed/32635669
http://dx.doi.org/10.3390/s20133776

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374365/
https://www.ncbi.nlm.nih.gov/pubmed/32635669
http://dx.doi.org/10.3390/s20133776

Ejemplares similares