CEEMDAN-IPSO-LSTM: A Novel Model for Short-Term Passenger Flow Prediction in Urban Rail Transit Systems

Urban rail transit (URT) is a key mode of public transport, which serves for greatest user demand. Short-term passenger flow prediction aims to improve management validity and avoid extravagance of public transport resources. In order to anticipate passenger flow for URT, managing nonlinearity, corr...

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Detalles Bibliográficos
Autores principales: Zeng, Lu, Li, Zinuo, Yang, Jie, Xu, Xinyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779204/
https://www.ncbi.nlm.nih.gov/pubmed/36554314
http://dx.doi.org/10.3390/ijerph192416433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779204/
https://www.ncbi.nlm.nih.gov/pubmed/36554314
http://dx.doi.org/10.3390/ijerph192416433

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