Multi-mode dynamic residual graph convolution network for traffic flow prediction

被引：0
|
作者：
Huang, Xiaohui [1 ]
Ye, Yuming [1 ]
Ding, Weihua [1 ]
Yang, Xiaofei [2 ]
Xiong, Liyan [1 ]
机构：
[1] Department of Information Engineering, East China Jiaotong University, Jiangxi, China
[2] Faculty of Science and Technology, University of Macau, Macau, China
来源：
Information Sciences | 2022年 / 609卷
基金：
中国国家自然科学基金;
关键词：
Dynamic graph - Graph convolution network - Mode dynamics - Multi-mode fusion - Multimodes - Spatio-temporal data - Traffic flow - Traffic flow prediction - Urban development - Urban traffic congestion;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：548 / 564
相关论文
共 50 条
  • [11] DyGGAN: Traffic flow prediction based on generative adversarial network and dynamic graph convolution
    Li, Xiaofeng
    Li, Songjiang
    Wang, Peng
    Zhang, Wenxin
    2023 5th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2023, 2023, : 216 - 220
  • [12] Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction
    Li, Qin
    Xu, Pai
    He, Deqiang
    Wu, Yuankai
    Tan, Huachun
    Yang, Xuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 252
  • [13] PCR: A Parallel Convolution Residual Network for Traffic Flow Prediction
    Zuo, Changqi
    Zhang, Xu
    Zhao, Gen
    Yan, Liang
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2025,
  • [14] A coupled generative graph convolution network by capturing dynamic relationship of regional flow for traffic prediction
    Xu, Jiayang
    Huang, Xiaohui
    Song, Ge
    Gong, Zu
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (05): : 6773 - 6786
  • [15] FD-TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction
    Sun, Lijun
    Liu, Mingzhi
    Liu, Guanfeng
    Chen, Xiao
    Yu, Xu
    INFORMATION FUSION, 2024, 106
  • [16] A Spatio-Temporal Traffic Flow Prediction Method Based on Dynamic Graph Convolution Network
    Yang, Guoliang
    Yu, Huasheng
    Xi, Hao
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 5364 - 5369
  • [17] Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
    Ge, Yun
    Zhai, Jian F.
    Su, Pei C.
    Journal of Advanced Transportation, 2022, 2022
  • [18] Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
    Ge, Yun
    Zhai, Jian F.
    Su, Pei C.
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [19] Traffic Flow Prediction Based on Dynamic Time Slot Graph Convolution
    Chen, Hongwei
    Wang, Han
    Chen, Zexi
    TRANSPORTATION RESEARCH RECORD, 2025,
  • [20] Dynamic multi-graph neural network for traffic flow prediction incorporating traffic accidents
    Ye, Yaqin
    Xiao, Yue
    Zhou, Yuxuan
    Li, Shengwen
    Zang, Yuanfei
    Zhang, Yixuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 234
12345