Deep spatio-temporal neural network based on interactive attention for traffic flow prediction

Hui Zeng; Zhiying Peng; Xiaohui Huang; Yixue Yang; Rong Hu

doi:10.1007/s10489-021-02879-1

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Deep spatio-temporal neural network based on interactive attention for traffic flow prediction

Hui Zeng Zhiying Peng Xiaohui Huang Yixue Yang Rong Hu

Year: 2022 Journal: Applied Intelligence Vol: 52 (9)Pages: 10285-10296 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-021-02879-1

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Keywords:

Computer science Traffic flow (computer networking) Closeness Feature (linguistics) Fuse (electrical) Deep learning Convolutional neural network Flow (mathematics) Artificial intelligence Data mining Global Positioning System Machine learning Computer security

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Cited By

4.45

FWCI (Field Weighted Citation Impact)

Refs

0.93

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

Deep spatio-temporal neural network based on interactive attention for traffic flow prediction

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Citation History

Topics

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