An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic
An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
The COVID-19 pandemic is a significant public health problem globally, which causes difficulty and trouble for both people’s travel and public transport companies’ management. Improving the accuracy of bus passenger flow prediction during COVID-19 can help these companies make better decisions on operation scheduling and is of great significance to...
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Full title
An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic
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TN_cdi_doaj_primary_oai_doaj_org_article_b99855beb1bf434cadb66bd7d9548db7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b99855beb1bf434cadb66bd7d9548db7
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21175950
