Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction

Yuanbo Xu; Xiao Cai; En Wang; Wenbin Liu; Yongjian Yang; Funing Yang

doi:10.1016/j.ins.2022.11.086

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JOURNAL ARTICLE

Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction

Yuanbo Xu Xiao Cai En Wang Wenbin Liu Yongjian Yang Funing Yang

Year: 2022 Journal: Information Sciences Vol: 621 Pages: 580-595 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2022.11.086

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Keywords:

Computer science Adjacency matrix Graph Data mining Dynamic data Dynamic network analysis Adjacency list Traffic flow (computer networking) Traffic generation model Artificial intelligence Theoretical computer science Real-time computing Algorithm Computer network

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Citation History

Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction

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Citation History

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