Passenger Flow Forecasting in Metro Transfer Station Based on the Combination of Singular Spectrum Analysis and AdaBoost-Weighted Extreme Learning Machine

The metro system plays an important role in urban public transit, and the passenger flow forecasting is fundamental to assisting operators establishing an intelligent transport system (ITS). The forecasting results can provide necessary information for travelling decision of travelers and metro oper...

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Detalles Bibliográficos
Autores principales: Zhou, Wei, Wang, Wei, Zhao, De
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348968/
https://www.ncbi.nlm.nih.gov/pubmed/32585963
http://dx.doi.org/10.3390/s20123555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348968/
https://www.ncbi.nlm.nih.gov/pubmed/32585963
http://dx.doi.org/10.3390/s20123555

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