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Traffic flow prediction algorithm based on dynamic diffusion graph convolution
更新时间：2025-05-26

    • Traffic flow prediction algorithm based on dynamic diffusion graph convolution

    • “In the field of traffic flow prediction, researchers have proposed a prediction model based on dynamic diffusion graph convolution, which enhances model stability and effectively predicts traffic flow by learning spatial features, dynamic adjacency matrix, and temporal feature extraction.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 6, Pages: 1582-1592(2024)
    • 作者机构：

      1.天津大学 电气自动化与信息工程学院，天津 300072

      2.天津市测绘院有限公司，天津 300072

      3.广西财经学院 大数据与人工智能学院，南宁 530001

    • DOI：10.13229/j.cnki.jdxbgxb.20220888    

      CLC： TN18

    • Received：13 July 2022，

      Published：01 June 2024

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  • JING Pei-guang,TIAN Yu-dou,WANG Shao-chu,et al.Traffic flow prediction algorithm based on dynamic diffusion graph convolution[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(06):1582-1592. DOI： 10.13229/j.cnki.jdxbgxb.20220888.

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