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Passenger flow prediction model of external transportation hub based on hybrid Transformer
更新时间：2025-09-12

    • Passenger flow prediction model of external transportation hub based on hybrid Transformer

    • “According to the latest report, experts have proposed a hybrid Transformer hub arrival passenger flow prediction model that integrates convolutional neural networks and long short-term memory networks, with an accuracy rate of over 80%, providing a new solution for passenger flow prediction.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2251-2259(2025)
    • 作者机构：

      1.北京工业大学 交通工程北京市重点实验室， 北京 100124

      2.北京工业大学 信息学部， 北京 100124

      3.北京市交通委员会 北京市运输事业发展中心， 北京 100088

    • DOI：10.13229/j.cnki.jdxbgxb.20231091    

      CLC： U125

    • Received：11 October 2023，

      Published：01 July 2025

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  • YU Jiang-bo,WENG Jian-cheng,LIN Peng-fei,et al.Passenger flow prediction model of external transportation hub based on hybrid Transformer[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2251-2259. DOI： 10.13229/j.cnki.jdxbgxb.20231091.

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