Adaptive spatial-temporal graph attention networks for traffic flow forecasting

Xiangyuan Kong; Jian Zhang; Xiang Wei; Weiwei Xing; Wei Lu

doi:10.1007/s10489-021-02648-0

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JOURNAL ARTICLE

Adaptive spatial-temporal graph attention networks for traffic flow forecasting

Xiangyuan Kong Jian Zhang Xiang Wei Weiwei Xing Wei Lu

Year: 2021 Journal: Applied Intelligence Vol: 52 (4)Pages: 4300-4316 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-021-02648-0

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Keywords:

Computer science Graph Attention network Data mining Softmax function Traffic speed Artificial intelligence Deep learning Theoretical computer science

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0.97

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Adaptive spatial-temporal graph attention networks for traffic flow forecasting

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