A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network

被引：0
|
作者：
Shang, Pan [1 ]
Liu, Xinwei [2 ]
Yu, Chengqing [3 ]
Yan, Guangxi [3 ]
Xiang, Qingqing [4 ]
Mi, Xiwei [1 ]
机构：
[1] School of Traffic and Transportation, Beijing Jiaotong University, Beijing,100044, China
[2] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing,100044, China
[3] School of Traffic and Transportation Engineering, Central South University, Changsha,410075, China
[4] School of Traffic and Transportation, East China Jiaotong University, Nanchang,330013, China
来源：
Digital Signal Processing: A Review Journal | 2022年 / 123卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Forecasting
引用
收藏
相关论文
共 50 条
  • [1] A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
    Shang, Pan
    Liu, Xinwei
    Yu, Chengqing
    Yan, Guangxi
    Xiang, Qingqing
    Mi, Xiwei
    DIGITAL SIGNAL PROCESSING, 2022, 123
  • [2] Adaptive Joint Spatio-Temporal Graph Learning Network for Traffic Data Forecasting
    Wang, Tianyi
    Chen, Shu-ching
    ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS, 2024, 10 (03)
  • [3] Probabilistic spatio-temporal graph convolutional network for traffic forecasting
    Karim, Atkia Akila
    Nower, Naushin
    APPLIED INTELLIGENCE, 2024, : 7070 - 7085
  • [4] Adaptive Spatio-temporal Graph Neural Network for traffic forecasting
    Ta, Xuxiang
    Liu, Zihan
    Hu, Xiao
    Yu, Le
    Sun, Leilei
    Du, Bowen
    KNOWLEDGE-BASED SYSTEMS, 2022, 242
  • [5] Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting
    Singh, Vandana
    Sahana, Sudip Kumar
    Bhattacharjee, Vandana
    APPLIED SCIENCES-BASEL, 2024, 14 (24):
  • [6] Spatio-temporal fusion graph convolutional network for traffic flow forecasting
    Ma, Ying
    Lou, Haijie
    Yan, Ming
    Sun, Fanghui
    Li, Guoqi
    INFORMATION FUSION, 2024, 104
  • [7] Spatio-Temporal Graph Attention Convolution Network for Traffic Flow Forecasting
    Liu, Kun
    Zhu, Yifan
    Wang, Xiao
    Ji, Hongya
    Huang, Chengfei
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (09) : 136 - 149
  • [8] Spatio-Temporal Graph Structure Learning for Traffic Forecasting
    Zhang, Qi
    Chang, Jianlong
    Meng, Gaofeng
    Xiang, Shiming
    Pan, Chunhong
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 1177 - 1185
  • [9] Deep spatio-temporal graph convolutional network for traffic accident prediction
    Yu, Le
    Du, Bowen
    Hu, Xiao
    Sun, Leilei
    Han, Liangzhe
    Lv, Weifeng
    NEUROCOMPUTING, 2021, 423 (423) : 135 - 147
  • [10] Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
    Yu, Bing
    Yin, Haoteng
    Zhu, Zhanxing
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 3634 - 3640
12345