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Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems.

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第一作者： Wei,Zhao

第一单位： School of Artificial Intelligence and Computer Science, Zhengzhou University, Zhengzhou, China.;Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China.;School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China.

作者： Wei,Zhao ^[1] ; Shiqi,Zhang ^[2] ; Bei,Wang ^[2] ; Bing,Zhou ^[3]

作者单位： School of Artificial Intelligence and Computer Science, Zhengzhou University, Zhengzhou, China.;Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China.;School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China. ^[1] School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China. ^[2] School of Artificial Intelligence and Computer Science, Zhengzhou University, Zhengzhou, China.;Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China. ^[3]

关键词 Artificial intelligence Graph convolution neural networks Intelligent transportation systems Time series prediction Traffic flow prediction

DOI 10.7717/peerj-cs.1484

PMID 37547406

发布时间 2023-08-08

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Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems.

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