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

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    JTEPBS.TEENG-8981.pdf (2.168Mb)
    Date
    2025
    Author
    Song, Zilong
    Feng, Shumin
    Li, Guofeng
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    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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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313628
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