Search Results - "Feng, Siyun"

  • Showing 1 - 3 results of 3
Refine Results
  1. 1
    A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction

    A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction by Feng, Siyun, Huang, Jiashuang, Shen, Qinqin, Shi, Quan, Shi, Zhenquan

    Published in IEEE access (2022)
    “…Accurate traffic prediction can effectively alleviate traffic congestion problems. The complex spatial correlation of traffic flow contributes to the…”
    Get full text
    Journal Article
    Save to List
    Saved in:
  2. 2
    SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction

    SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction by Dai, Junming, Huang, Jiashuang, Shen, Qinqin, Shi, Quan, Feng, Siyun, Shi, Zhenquan

    Published in IEEE access (2022)
    “…Traffic flow prediction is of great significance for traffic control, and it has been challenging for capturing the complex spatial-temporal correlation…”
    Get full text
    Journal Article
    Save to List
    Saved in:
  3. 3
    SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction

    SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction by Dai, Junming, Huang, Jiashuang, Shen, Qinqin, Shi, Quan, Feng, Siyun, Shi, Zhenquan

    Published in Access, IEEE (2022)
    “…Traffic flow prediction is of great significance for traffic control, and it has been challenging for capturing the complex spatial-temporal correlation…”
    Get full text
    Standard
    Save to List
    Saved in:

Search Tools: