Predicting subway passenger flows under different traffic conditions

Passenger flow prediction is important for the operation, management, efficiency, and reliability of urban rail transit (subway) system. Here, we employ the large-scale subway smartcard data of Shenzhen, a major city of China, to predict dynamical passenger flows in the subway network. Four classica...

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Detalles Bibliográficos
Autores principales: Ling, Ximan, Huang, Zhiren, Wang, Chengcheng, Zhang, Fan, Wang, Pu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110475/
https://www.ncbi.nlm.nih.gov/pubmed/30148888
http://dx.doi.org/10.1371/journal.pone.0202707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110475/
https://www.ncbi.nlm.nih.gov/pubmed/30148888
http://dx.doi.org/10.1371/journal.pone.0202707

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