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Recognition of travel patterns for urban rail transit passengers based on spatiotemporal sequence similarity
更新时间：2025-05-26

    • Recognition of travel patterns for urban rail transit passengers based on spatiotemporal sequence similarity

    • “In the field of rail transit, experts model individual spatiotemporal sequences based on smart card data, identify travel patterns, and provide new methods for passenger flow analysis.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 9, Pages: 2588-2599(2024)
    • 作者机构：

      1.西安建筑科技大学 资源工程学院， 西安 710055

      2.北京交通大学 土木建筑工程学院， 北京 100044

      3.长安大学 运输工程学院， 西安 710064

    • DOI：10.13229/j.cnki.jdxbgxb.20221413    

      CLC： U491.1

    • Received：08 November 2022，

      Published：01 September 2024

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  • ZHANG Na,CHEN Feng,WANG Jian-po,et al.Recognition of travel patterns for urban rail transit passengers based on spatiotemporal sequence similarity[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(09):2588-2599. DOI： 10.13229/j.cnki.jdxbgxb.20221413.

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