Traffic flow data repair method based on spatial-temporal fusion graph convolution

被引:0
|
作者
Hou, Yue [1 ]
Han, Cheng-Yan [1 ]
Zheng, Xin [1 ]
Deng, Zhi-Yuan [1 ]
机构
[1] School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou,730070, China
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Flow graphs - Matrix algebra - Repair
引用
收藏
页码:1394 / 1403
相关论文
共 50 条
  • [1] Repair method for traffic flow fault data based on spatial-temporal correlation
    Wang W.
    Cheng Z.-Y.
    Liu M.-Y.
    Yang Z.-S.
    Liu, Meng-Yi (663112954@qq.com), 1727, Zhejiang University (51): : 1727 - 1734
  • [2] Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction
    Bao, Yinxin
    Huang, Jiashuang
    Shen, Qinqin
    Cao, Yang
    Ding, Weiping
    Shi, Zhenquan
    Shi, Quan
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 121
  • [3] Traffic flow forecasting based on lightweight spatial-temporal graph convolution networks model
    He, Wenwu
    Pei, Boyu
    Mao, Guojun
    Chen, Weiya
    Journal of Railway Science and Engineering, 2022, 19 (09): : 2552 - 2562
  • [4] A traffic flow forecasting method based on hybrid spatial-temporal gated convolution
    Zhang, Ying
    Yang, Songhao
    Wang, Hongchao
    Cheng, Yongqiang
    Wang, Jinyu
    Cao, Liping
    An, Ziying
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2025, 16 (03) : 1805 - 1817
  • [5] Spatial-Temporal Traffic Flow Prediction With Fusion Graph Convolution Network and Enhanced Gated Recurrent Units
    Cai, Chuang
    Qu, Zhijian
    Ma, Liqun
    Yu, Lianfei
    Liu, Wenbo
    Ren, Chongguang
    IEEE ACCESS, 2024, 12 : 56477 - 56491
  • [6] Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks
    Liu, Yunchang
    Wan, Fei
    Liang, Chengwu
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (03): : 4343 - 4361
  • [7] Multi-Attention Based Spatial-Temporal Graph Convolution Networks for Traffic Flow Forecasting
    Hu, Jun
    Chen, Liyin
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [8] Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
    Li, Mengzhang
    Zhu, Zhanxing
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 4189 - 4196
  • [9] Based Matrix Fusion Spatial-Temporal Graph Neural Network for Traffic Flow Prediction
    Jing, Xin
    Zhu, Hai
    PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023, 2023, : 1171 - 1175
  • [10] Attention Mechanism Based Spatial-Temporal Graph Convolution Network for Traffic Prediction
    Xiao, Wenjuan
    Wang, Xiaoming
    Journal of Computers (Taiwan), 2024, 35 (04) : 93 - 108