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
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | / 49卷 / 12期
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
  • [31] Traffic Flow Combined Prediction Model Based on Complementary Ensemble Empirical Mode Decomposition and Bidirectional Gated Recurrent Unit Optimized by Improved Sparrow Search Algorithm
    Yin L.
    Liu P.
    Sun S.
    Wu Y.
    Shi C.
    Yigang H.E.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2023, 45 (12): : 4499 - 4508
  • [32] Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction
    Liyan Xiong
    Xinhua Yuan
    Zhuyi Hu
    Xiaohui Huang
    Peng Huang
    Neural Processing Letters, 56
  • [33] Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction
    Xiong, Liyan
    Yuan, Xinhua
    Hu, Zhuyi
    Huang, Xiaohui
    Huang, Peng
    NEURAL PROCESSING LETTERS, 2024, 56 (01)
  • [34] Cellular Network Traffic Prediction with Hybrid Graph Convolutional Recurrent Network
    Zhang, Miaoru
    Zhou, Hao
    Yu, Ke
    Wu, Xiaofei
    Wireless Personal Communications, 138 (03): : 1867 - 1892
  • [35] DTM-GCN: A traffic flow prediction model based on dynamic graph convolutional network
    Wang, Xinqiang
    Shang, Yihui
    Li, Guoyan
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (41) : 89545 - 89561
  • [36] A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network
    Li, Yulian
    Su, Yang
    IEEE ACCESS, 2025, 13 : 24398 - 24410
  • [37] Traffic Flow Prediction Model Based on Temporal Convolutional Network
    Zhao, Changxi
    2023 17TH INTERNATIONAL CONFERENCE ON THE EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS, CADSM, 2023,
  • [38] Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction
    Cui, Zhiyong
    Ke, Ruimin
    Pu, Ziyuan
    Ma, Xiaolei
    Wang, Yinhai
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 115
  • [39] Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction
    Cui, Zhiyong
    Ke, Ruimin
    Pu, Ziyuan
    Ma, Xiaolei
    Wang, Yinhai
    Transportation Research Part C: Emerging Technologies, 2020, 115
  • [40] Dynamic Graph Convolutional Recurrent Network With Spatiotemporal Category Information Embedding for Traffic Flow Prediction
    Zhu, Guodong
    Niu, Yunyun
    Du, Songzhi
    Wang, Pengcheng
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (24): : 39473 - 39486
12345