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Deep learning method for bus passenger flow prediction based on multi-source data and surrogate-based optimization
更新时间：2025-05-26

    • Deep learning method for bus passenger flow prediction based on multi-source data and surrogate-based optimization

    • “In the field of public transportation passenger flow prediction, researchers have proposed a deep learning framework that effectively improves prediction accuracy and achieves optimal utilization of data resources by optimizing the structure of passenger flow segmentation matrices.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 7, Pages: 2001-2015(2023)
    • 作者机构：

      1.华南理工大学 土木与交通学院，广州 510641

      2.深圳职业技术学院 汽车与交通学院，广东 深圳 518055

    • DOI：10.13229/j.cnki.jdxbgxb.20210935    

      CLC： U491.1

    • Received：16 September 2021，

      Published：01 July 2023

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  • WU Wei-tiao,ZENG Kun,ZHOU Wei,et al.Deep learning method for bus passenger flow prediction based on multi-source data and surrogate-based optimization[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(07):2001-2015. DOI： 10.13229/j.cnki.jdxbgxb.20210935.

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