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Data-driven prediction of departure state for tail vehicles in queues at signalized intersections
更新时间：2025-07-22

    • Data-driven prediction of departure state for tail vehicles in queues at signalized intersections

    • “The latest research has broken through the limitations of traditional models for predicting the departure status of rear cars in queues, and proposed a prediction model based on trajectory data, significantly improving prediction accuracy and providing technical support for vehicle road collaborative environments.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 4, Pages: 1275-1286(2025)
    • 作者机构：

      1.北京工业大学 城市建设学部，北京 100124

      2.北京工业大学 交通工程北京市重点实验室，北京 100124

    • DOI：10.13229/j.cnki.jdxbgxb.20230784    

      CLC： U491.1

    • Received：26 July 2013，

      Published：01 April 2025

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  • LU Kai-ming,CHEN Yan-yan,TONG Yao,et al.Data-driven prediction of departure state for tail vehicles in queues at signalized intersections[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(04):1275-1286. DOI： 10.13229/j.cnki.jdxbgxb.20230784.

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