Traffic Speed Prediction Based on Spatial-Temporal Dynamic and Static Graph Convolutional Recurrent Network

被引:0
|
作者
Wenxi, Y.A.N.G. [1 ]
Ziling, W.A.N.G. [1 ]
Tao, C.U.I. [1 ]
Yudong, L.U. [1 ]
Zhijian, Q.U. [1 ]
机构
[1] School of Computer Science and Technology, Shandong University of Technology, Country Zibo, China
来源
International Journal of Advanced Computer Science and Applications | 2024年 / 15卷 / 12期
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:518 / 529
相关论文
共 24 条
  • [1] Dynamic Spatial-Temporal Heterogeneous Graph Convolutional Network for Traffic Prediction
    Jin, Hengqing
    Pu, Lipeng
    Lecture Notes in Electrical Engineering, 2024, 1253 LNEE : 60 - 68
  • [2] TrafficSCINet: An Adaptive Spatial-Temporal Graph Convolutional Network for Traffic Flow Forecasting
    Gong, Kai
    Han, Shiyuan
    Yang, Xiaohui
    Yu, Weiwei
    Guan, Yuanlin
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 14086 LNCS : 628 - 639
  • [3] Spatial-Temporal Multiscale Fusion Graph Neural Network for Traffic Flow Prediction
    Hou, Hongxin
    Ning, Nianwen
    Shi, Huaguang
    Zhou, Yi
    2022 IEEE 7th International Conference on Intelligent Transportation Engineering, ICITE 2022, 2022, : 272 - 277
  • [4] A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
    Jiang, Ruiyuan
    Wang, Shangbo
    Zhang, Yuli
    arXiv, 2023,
  • [5] 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
  • [6] Network traffic prediction based on feature fusion spatio-temporal graph convolutional network
    Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing
    100876, China
    不详
    100876, China
    Proc SPIE Int Soc Opt Eng,
  • [7] Semi-dynamic spatial–temporal graph neural network for traffic state prediction in waterways
    Li, Le
    Pan, Mingyang
    Liu, Zongying
    Sun, Hui
    Zhang, Ruolan
    Ocean Engineering, 293
  • [8] A Dual Attention Spatial-Temporal Graph Convolutional Network for Emotion Recognition from Gait
    Liu, Jiaqing
    Kisita, Shoji
    Chai, Shurong
    Tateyama, Tomoko
    Iwamoto, Yutaro
    Chen, Yen-Wei
    Journal of the Institute of Image Electronics Engineers of Japan, 2022, 51 (04): : 309 - 317
  • [9] Dynamic Graph Convolutional Network for Long Short-Term Traffic Flow Prediction
    Wang, Yan
    Ren, Qianqian
    SSRN, 2022,
  • [10] Traffic flow data repair method based on spatial-temporal fusion graph convolution
    Hou, Yue
    Han, Cheng-Yan
    Zheng, Xin
    Deng, Zhi-Yuan
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2022, 56 (07): : 1394 - 1403