DyGGAN: Traffic flow prediction based on generative adversarial network and dynamic graph convolution

被引：0
|
作者：
Li, Xiaofeng [1 ]
Li, Songjiang [1 ]
Wang, Peng [1 ]
Zhang, Wenxin [1 ]
机构：
[1] Changchun University of Science and Technology, School of Computer Science and Technology, Changchun, Jilin,130013, China
来源：
2023 5th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2023 | 2023年
关键词：
Dynamics - Flow graphs - Forecasting - Generative adversarial networks - Information management - Traffic control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：216 / 220
相关论文
共 50 条
  • [21] Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework
    Lin, Yilun
    Dai, Xingyuan
    Li, Li
    Wang, Fei-Yue
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (06) : 2395 - 2400
  • [22] An improved dynamic Chebyshev graph convolution network for traffic flow prediction with spatial-temporal attention
    Liao, Lyuchao
    Hu, Zhiyuan
    Zheng, Yuxin
    Bi, Shuoben
    Zou, Fumin
    Qiu, Huai
    Zhang, Maolin
    APPLIED INTELLIGENCE, 2022, 52 (14) : 16104 - 16116
  • [23] Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
    Ge, Yun
    Zhai, Jian F.
    Su, Pei C.
    Journal of Advanced Transportation, 2022, 2022
  • [24] Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
    Ge, Yun
    Zhai, Jian F.
    Su, Pei C.
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [25] Node Connection Strength Matrix-Based Graph Convolution Network for Traffic Flow Prediction
    Chen, Jian
    Wang, Wei
    Yu, Keping
    Hu, Xiping
    Cai, Ming
    Guizani, Mohsen
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (09) : 12063 - 12074
  • [26] Self-attention Based Multimodule Fusion Graph Convolution Network for Traffic Flow Prediction
    Li, Lijie
    Shao, Hongyang
    Chen, Junhao
    Wang, Ye
    DATA SCIENCE (ICPCSEE 2022), PT I, 2022, 1628 : 3 - 16
  • [27] Proactive Network Traffic Prediction using Generative Adversarial Network
    Byun, Gyurin
    Vo, Van-Vi
    Raza, Syed M.
    Le, Duc-Tai
    Yang, Huigyu
    Choo, Hyunseung
    38TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN 2024, 2024, : 156 - 159
  • [28] Road traffic flow prediction based on dynamic spatiotemporal graph attention network
    Chen, Yuguang
    Huang, Jintao
    Xu, Hongbin
    Guo, Jincheng
    Su, Linyong
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [29] Road traffic flow prediction based on dynamic spatiotemporal graph attention network
    Yuguang Chen
    Jintao Huang
    Hongbin Xu
    Jincheng Guo
    Linyong Su
    Scientific Reports, 13
  • [30] Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
    Sun, Yanfeng
    Jiang, Xiangheng
    Hu, Yongli
    Duan, Fuqing
    Guo, Kan
    Wang, Boyue
    Gao, Junbin
    Yin, Baocai
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (12) : 23680 - 23693
12345