Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting

Z.H. Xia; Yong Zhang; Jielong Yang; Linbo Xie

doi:10.1016/j.eswa.2023.122381

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JOURNAL ARTICLE

Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting

Z.H. Xia Yong Zhang Jielong Yang Linbo Xie

Year: 2023 Journal: Expert Systems with Applications Vol: 240 Pages: 122381-122381 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.122381

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Keywords:

Computer science Graph Dynamic network analysis Leverage (statistics) Feature learning Artificial intelligence Data mining Theoretical computer science

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9.00

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0.98

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Is in top 1%

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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 spatial–temporal graph convolutional recurrent networks for traffic flow forecasting

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Citation History

Topics

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