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Adaptive convolutional network for traffic state estimation under sparse data
更新时间：2025-11-14

    • Adaptive convolutional network for traffic state estimation under sparse data

    • “In the field of traffic state estimation, experts have established an encoding decoding traffic adaptive convolutional network, which improves the accuracy of CNN's traffic feature analysis and provides strong support for deep learning to estimate traffic states.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 8, Pages: 2579-2587(2025)
    • 作者机构：

      1.中国人民公安大学 交通管理学院，北京 100038

      2.吉林大学 交通学院，长春 130022

    • DOI：10.13229/j.cnki.jdxbgxb.20231247    

      CLC： U491

    • Received：13 November 2023，

      Published：01 August 2025

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  • TIAN Jing,MA She-qiang,SONG Xian-min,et al.Adaptive convolutional network for traffic state estimation under sparse data[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(08):2579-2587. DOI： 10.13229/j.cnki.jdxbgxb.20231247.

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