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    Urban Rail Transit Passenger Flow Prediction with Gaussian Process Regression Based on CEEMDAN

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 009::page 04025069-1
    Author:
    Song, Zilong
    ,
    Feng, Shumin
    ,
    Li, Guofeng
    DOI: 10.1061/JTEPBS.TEENG-8981
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate passenger flow prediction of rail transit is of great significance to improve the operational efficiency of rail transit and reduce operational costs, which are essential for the proper scheduling and optimization of rail transit. The ...
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      Urban Rail Transit Passenger Flow Prediction with Gaussian Process Regression Based on CEEMDAN

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313628
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorSong, Zilong
    contributor authorFeng, Shumin
    contributor authorLi, Guofeng
    date accessioned2026-08-20T20:53:33Z
    date available2026-08-20T20:53:33Z
    date copyright2025/07/11
    date issued2025
    identifier otherJTEPBS.TEENG-8981.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313628
    description abstractAbstractAccurate passenger flow prediction of rail transit is of great significance to improve the operational efficiency of rail transit and reduce operational costs, which are essential for the proper scheduling and optimization of rail transit. The ...
    publisherAmerican Society of Civil Engineers
    titleUrban Rail Transit Passenger Flow Prediction with Gaussian Process Regression Based on CEEMDAN
    typeJournal Article
    journal volume151
    journal issue9
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-8981
    journal fristpage04025069-1
    journal lastpage04025069-11
    page11
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 009
    contenttypeFulltext
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