Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

Accurate spatio-temporal traffic flow prediction is a significant research direction in the intelligent transport system. Current prediction methods have limitations in spatio-temporal feature extraction, and the prediction results have poor performance. In this paper, a short-term traffic flow pred...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Qingyong Zhang, Meifang Tan, Changwu Li, Huiwen Xia, Wanfeng Chang, Minglong Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Attention mechanism
bidirectional gated recurrent unit
graph convolutional networks
short-term traffic flow prediction
spatio-temporal traffic flow prediction
Online Access:https://ieeexplore.ieee.org/document/10197420/

Internet

https://ieeexplore.ieee.org/document/10197420/

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