An Enhanced TimesNet-SARIMA Model for Predicting Outbound Subway Passenger Flow with Decomposition T...
An Enhanced TimesNet-SARIMA Model for Predicting Outbound Subway Passenger Flow with Decomposition Techniques
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
The accurate prediction of subway passenger flow is crucial for managing urban transportation systems. This research introduces a hybrid forecasting approach that combines an enhanced TimesNet model, Seasonal Autoregressive Integrated Moving Average (SARIMA), and Variational Mode Decomposition (VMD) to improve passenger flow prediction. The method...
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Full title
An Enhanced TimesNet-SARIMA Model for Predicting Outbound Subway Passenger Flow with Decomposition Techniques
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TN_cdi_doaj_primary_oai_doaj_org_article_ab98c2f907ae4d6f8e782b0f2582ef99
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ab98c2f907ae4d6f8e782b0f2582ef99
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app15062874
