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Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods.

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Bibliographic Details
Title: Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods.
Authors: Da Silva, Diego1 (AUTHOR) dluiz.silva@utoronto.ca, Shalaby, Amer1 (AUTHOR)
Source: Journal of Intelligent Transportation Systems. Jan2026, Vol. 30 Issue 1, p108-128. 21p.
Database: Business Source Ultimate
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An: 193623639
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Transportation+Systems%22">Journal of Intelligent Transportation Systems</searchLink>. Jan2026, Vol. 30 Issue 1, p108-128. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193623639
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/15472450.2024.2417175
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 108
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      – TitleFull: Forecasting short-term subway passenger flow using Wi-Fi data: comparative analysis of advanced time-series methods.
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            NameFull: Da Silva, Diego
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            NameFull: Shalaby, Amer
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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