Static-dynamic collaborative graph convolutional network with meta-learning for node-level traffic flow prediction

Xiang Yin; Wenyu Zhang; Xin Jing

doi:10.1016/j.eswa.2023.120333

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JOURNAL ARTICLE

Static-dynamic collaborative graph convolutional network with meta-learning for node-level traffic flow prediction

Xiang Yin Wenyu Zhang Xin Jing

Year: 2023 Journal: Expert Systems with Applications Vol: 227 Pages: 120333-120333 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.120333

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Keywords:

Computer science Robustness (evolution) Data mining Feature extraction Graph Artificial intelligence Deep learning Machine learning Theoretical computer science

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0.92

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Static-dynamic collaborative graph convolutional network with meta-learning for node-level traffic flow prediction

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Citation History

Topics

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