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Hou, Zhongwei, Du, Zixue, Yang, Guang, Yang, Zhen (2022) Short-Term Passenger Flow Prediction of Urban Rail Transit Based on a Combined Deep Learning Model. Applied Sciences, 12 (15) 7597 doi:10.3390/app12157597

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Reference TypeJournal (article/letter/editorial)
TitleShort-Term Passenger Flow Prediction of Urban Rail Transit Based on a Combined Deep Learning Model
JournalApplied Sciences
AuthorsHou, ZhongweiAuthor
Du, ZixueAuthor
Yang, GuangAuthor
Yang, ZhenAuthor
Year2022 (July 28)Volume12
Issue15
PublisherMDPI AG
DOIdoi:10.3390/app12157597Search in ResearchGate
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Mindat Ref. ID15410423Long-form Identifiermindat:1:5:15410423:8
GUID0
Full ReferenceHou, Zhongwei, Du, Zixue, Yang, Guang, Yang, Zhen (2022) Short-Term Passenger Flow Prediction of Urban Rail Transit Based on a Combined Deep Learning Model. Applied Sciences, 12 (15) 7597 doi:10.3390/app12157597
Plain TextHou, Zhongwei, Du, Zixue, Yang, Guang, Yang, Zhen (2022) Short-Term Passenger Flow Prediction of Urban Rail Transit Based on a Combined Deep Learning Model. Applied Sciences, 12 (15) 7597 doi:10.3390/app12157597
In(2022, August) Applied Sciences Vol. 12 (15) MDPI AG

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Zhang, Zhe, Wang, Cheng, Gao, Yueer, Chen, Jianwei, Zhang, Yiwen (2020) Short-Term Passenger Flow Forecast of Rail Transit Station Based on MIC Feature Selection and ST-LightGBM considering Transfer Passenger Flow. Scientific Programming, 2020. 1-15 doi:10.1155/2020/3180628
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Yang, Yongjie, Zhang, Jinlei, Yang, Lixing, Yang, Yang, Li, Xiaohong, Gao, Ziyou (2023) Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method. Information Sciences, 642. 119144 doi:10.1016/j.ins.2023.119144
 
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