Multi-point short-term prediction of station passenger flow based on temporal multi-graph convolutional network

被引：0
|
作者：
Wang, Yaguan [1 ,2 ]
Qin, Yong [1 ,3 ]
Guo, Jianyuan [2 ,3 ]
Cao, Zhiwei [1 ,2 ]
Jia, Limin [1 ,3 ]
机构：
[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing,100044, China
[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing,100044, China
[3] Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies, Beijing,100044, China
来源：
Physica A: Statistical Mechanics and its Applications | 2022年 / 604卷
关键词：
Convolutional networks - Flow data - Graph attention network - Graph convolutional network - Multi-graph - Passenger flow predictions - Passenger flows - Short-term passenger flow prediction - Temporal graphs - Urban rail station;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
40
引用
收藏
相关论文
共 50 条
  • [31] Short-Term Traffic Flow Prediction Based on Graph Convolutional Network Embedded LSTM
    Huang, Yanguo
    Zhang, Shuo
    Wen, Junlin
    Chen, Xinqiang
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2020 - TRAFFIC AND BIKE/PEDESTRIAN OPERATIONS, 2020, : 159 - 168
  • [32] Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network
    Li, Yafei
    Sun, Huijun
    Lv, Ying
    Chang, Ximing
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 247
  • [33] Short-term passenger flow prediction for urban rail transit based on Time-space attention graph convolutional network
    Zhang, Guoxing
    Liu, Wei
    Zheng, Hao
    Ma, Tianyi
    2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020), 2020, : 548 - 553
  • [34] Multi-step short-term wind power prediction based on spatio-temporal graph convolutional networks
    Liu, Zheng
    Xiao, SiYuan
    Liu, Hongliang
    2023 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING, REPE 2023, 2023, : 352 - 357
  • [35] Multi-step short-term wind power prediction based on spatio-temporal graph convolutional networks
    Liu, Zheng
    Xiao, SiYuan
    Liu, Hongliang
    2023 6th International Conference on Renewable Energy and Power Engineering, REPE 2023, 2023, : 352 - 357
  • [36] Dynamic-Static-based Spatiotemporal Multi-Graph Neural Networks for Passenger Flow Prediction
    Ma, Jingyan
    Gu, Jingjing
    Zhou, Qiang
    Wang, Qiuhong
    Sun, Ming
    2020 IEEE 26TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2020, : 673 - 678
  • [37] Dynamic Graph Convolutional Network for Long Short-term Traffic Flow Prediction
    Wang, Yan
    Ren, Qianqian
    2022 27TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2022), 2022,
  • [38] Dynamic Graph Convolutional Network for Long Short-term Traffic Flow Prediction
    Wang, Yan
    Ren, Qianqian
    Proceedings - IEEE Symposium on Computers and Communications, 2022, 2022-June
  • [39] Underground Railway Station Passenger Flow Prediction Based on Long Short-Term Memory Neural Network
    Shao, Yuyang
    Ng, S. Thomas
    Kwok, C. Y.
    Fan, Shushu
    Cheng, Reynold
    COMPUTING IN CIVIL ENGINEERING 2023-DATA, SENSING, AND ANALYTICS, 2024, : 133 - 140
  • [40] Dynamic Graph Convolutional Network for Long Short-Term Traffic Flow Prediction
    Wang, Yan
    Ren, Qianqian
    SSRN, 2022,
12345