A Combined Traffic Flow Prediction Model Based on Variational Mode Decomposition and Adaptive Graph Convolutional Gated Recurrent Network

被引:0
|
作者
Gong, Xunqiang [1 ,2 ]
Qiu, Wanjin [1 ,2 ]
Lü, Kaiyun [1 ,2 ]
Zhang, Tong [1 ,3 ]
Zhang, Rui [4 ]
Luo, Sheng [1 ,2 ]
机构
[1] Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang,330013, China
[2] School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang,330013, China
[3] Institute of Basic Geological Survey, Jiangxi Geological Survey and Exploration Institute, Nanchang,330025, China
[4] State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu,611756, China
关键词
Flow graphs - Motor transportation - Street traffic control - Variational mode decomposition;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2329 / 2341
相关论文
共 50 条
  • [41] A traffic flow prediction method based on constrained dynamic graph convolutional recurrent networks
    Xiao, Hongxiang
    Zhao, Zihan
    Yang, Tiejun
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 133
  • [42] Dual flow fusion graph convolutional network for traffic flow prediction
    Zhao, Yuan
    Li, Mingxin
    Wen, Haoyang
    Zhao, Hui
    Wang, Yongjian
    Wen, Shixi
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 15 (08) : 3425 - 3437
  • [43] A Graph Convolutional Method for Traffic Flow Prediction in Highway Network
    Zhang, Tianpu
    Ding, Weilong
    Chen, Tao
    Wang, Zhe
    Chen, Jun
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [44] A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction
    Cao, Shuqin
    Wu, Libing
    Zhang, Rui
    Wu, Dan
    Cui, Jianqun
    Chang, Yanan
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (08) : 8705 - 8718
  • [45] Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction
    Mai, Weimin
    Chen, Junxin
    Chen, Xiang
    APPLIED SCIENCES-BASEL, 2022, 12 (06):
  • [46] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
    Li, Fuxian
    Feng, Jie
    Yan, Huan
    Jin, Guangyin
    Yang, Fan
    Sun, Funing
    Jin, Depeng
    Li, Yong
    ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2023, 17 (01)
  • [47] A Sparse Gating Convolutional Recurrent Network for Traffic Flow Prediction
    Huang, Xiaohui
    Tang, Jie
    Peng, Zhiying
    Chen, Zhiyi
    Zeng, Hui
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [48] TAGTN: Traffic Prediction Model based on Adaptive Graph Transformer Network
    Zheng, Zhedian
    Sun, Wei
    PROCEEDINGS OF 2024 3RD INTERNATIONAL CONFERENCE ON CYBER SECURITY, ARTIFICIAL INTELLIGENCE AND DIGITAL ECONOMY, CSAIDE 2024, 2024, : 352 - 357
  • [49] Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data
    Liu, Duanyang
    Xu, Xinbo
    Xu, Wei
    Zhu, Bingqian
    SENSORS, 2021, 21 (19)
  • [50] Decomposition dynamic multi-graph convolutional recurrent network for traffic forecasting
    Hu, Longfei
    Wei, Lai
    Lin, Yeqing
    APPLIED INTELLIGENCE, 2025, 55 (07)