Missing data imputation for transfer passenger flow identified from in-station WiFi systems
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Title
Missing data imputation for transfer passenger flow identified from in-station WiFi systems
Authors
Keywords
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Journal
Transportmetrica B-Transport Dynamics
Volume -, Issue -, Pages 1-18
Publisher
Informa UK Limited
Online
2022-05-06
DOI
10.1080/21680566.2022.2064935
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- (2018) Arief Hidayat et al. TRANSPORTATION RESEARCH RECORD
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- (2016) Alexander Kowarik et al. Journal of Statistical Software
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- Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit
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- (2009) Li Qu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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