FDST-GCN: A Fundamental Diagram based Spatiotemporal Graph Convolutional Network for expressway traffic forecasting

Jie Zhang; Chunyue Song; Shan Cao; Chun Zhang

doi:10.1016/j.physa.2023.129173

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FDST-GCN: A Fundamental Diagram based Spatiotemporal Graph Convolutional Network for expressway traffic forecasting

Jie Zhang Chunyue Song Shan Cao Chun Zhang

Year: 2023 Journal: Physica A Statistical Mechanics and its Applications Vol: 630 Pages: 129173-129173 Publisher: Elsevier BV

DOI: 10.1016/j.physa.2023.129173

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Keywords:

Computer science Encoder Graph Data mining Economic shortage Feature (linguistics) Intelligent transportation system Attention network Aggregate (composite) Sequence (biology) Traffic speed Artificial intelligence Theoretical computer science Transport engineering

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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

FDST-GCN: A Fundamental Diagram based Spatiotemporal Graph Convolutional Network for expressway traffic forecasting

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