ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning

Passenger flow prediction has drawn increasing attention in the deep learning research field due to its great importance in traffic management and public safety. The major challenge of this essential task lies in multiple spatiotemporal correlations that exhibit complex non-linear correlations. Alth...

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Detalles Bibliográficos
Autores principales: Jia, Hongwei, Luo, Haiyong, Wang, Hao, Zhao, Fang, Ke, Qixue, Wu, Mingyao, Zhao, Yunyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472615/
https://www.ncbi.nlm.nih.gov/pubmed/32824074
http://dx.doi.org/10.3390/s20164574

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472615/
https://www.ncbi.nlm.nih.gov/pubmed/32824074
http://dx.doi.org/10.3390/s20164574

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