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
  • [21] STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic flow prediction in Intelligent Transportation Systems
    Zhao, Wei
    Zhang, Shiqi
    Zhou, Bing
    Wang, Bei
    arXiv, 2022,
  • [22] MTGCN: Multi-graph Fusion Based Temporal-Spatial Convolution for Traffic Flow Forecasting
    Li, Chenghao
    Zhao, Linlin
    Zhang, Zhenguo
    2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence, CCAI 2023, 2023, : 75 - 80
  • [23] Curb Parking Occupancy Prediction Based on Real-Time Fusion of Multi-View Spatial-Temporal Information Using Graph Attention Gated Networks
    Qian, Chonghui
    Yang, Kexu
    He, Jiangping
    Peng, Xiaojing
    Huang, Hengjun
    SSRN,
  • [24] FastFlow: Availability Aware Federated Attention-Based Spatial-Temporal GNN for Big Data-Driven Traffic Forecasting
    Yun, Sheng
    Bhuiyan, Zakirul Alam
    Shen, S.
    Sadi, Md. Taufiq Al Hasib
    IEEE International Conference on Communications, 2024, : 2616 - 2621