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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Detaylı Bibliyografya
Asıl Yazarlar:	Qingyong Zhang, Meifang Tan, Changwu Li, Huiwen Xia, Wanfeng Chang, Minglong Li
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2023-01-01
Seri Bilgileri:	IEEE Access
Konular:	Attention mechanism bidirectional gated recurrent unit graph convolutional networks short-term traffic flow prediction spatio-temporal traffic flow prediction
Online Erişim:	https://ieeexplore.ieee.org/document/10197420/
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Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

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