Dynamic Graph Convolution and Spatiotemporal Self-Attention Network for Traffic Flow Prediction

Zhe Liu; Zhida Qin; Tianyu Huang; Gangyi Ding

doi:10.1109/jiot.2025.3562861

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JOURNAL ARTICLE

Dynamic Graph Convolution and Spatiotemporal Self-Attention Network for Traffic Flow Prediction

Zhe Liu Zhida Qin Tianyu Huang Gangyi Ding

Year: 2025 Journal: IEEE Internet of Things Journal Vol: 12 (14)Pages: 27379-27392 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2025.3562861

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Keywords:

Computer science Convolution (computer science) Graph Control flow graph Theoretical computer science Computer network Distributed computing Artificial intelligence Artificial neural network

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Dynamic Graph Convolution and Spatiotemporal Self-Attention Network for Traffic Flow Prediction

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