Multiple Information Spatial–Temporal Attention based Graph Convolution Network for traffic prediction

Shiming Tao; Huyin Zhang; Fei Yang; Yonghao Wu; Cong Li

doi:10.1016/j.asoc.2023.110052

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JOURNAL ARTICLE

Multiple Information Spatial–Temporal Attention based Graph Convolution Network for traffic prediction

Shiming Tao Huyin Zhang Fei Yang Yonghao Wu Cong Li

Year: 2023 Journal: Applied Soft Computing Vol: 136 Pages: 110052-110052 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2023.110052

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Keywords:

Computer science Graph Convolution (computer science) Residual Data mining Baseline (sea) Latent variable Mode (computer interface) Key (lock) Component (thermodynamics) Artificial intelligence Machine learning Theoretical computer science Algorithm

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0.96

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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

Multiple Information Spatial–Temporal Attention based Graph Convolution Network for traffic prediction

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Citation History

Topics

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