MSSTN: a multi-scale spatio-temporal network for traffic flow prediction

Yun Song; Xinke Bai; Wendong Fan; Zelin Deng; Cong Jiang

doi:10.1007/s13042-023-02067-2

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MSSTN: a multi-scale spatio-temporal network for traffic flow prediction

Yun Song Xinke Bai Wendong Fan Zelin Deng Cong Jiang

Year: 2024 Journal: International Journal of Machine Learning and Cybernetics Vol: 15 (7)Pages: 2827-2841 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-023-02067-2

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Keywords:

Computer science Exploit Fuse (electrical) Convolutional neural network Graph Convolution (computer science) Data mining Artificial intelligence Scale (ratio) Traffic flow (computer networking) Feature extraction Pattern recognition (psychology) Artificial neural network Theoretical computer science

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3.78

FWCI (Field Weighted Citation Impact)

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0.85

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

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

MSSTN: a multi-scale spatio-temporal network for traffic flow prediction

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Citation History

Topics

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