Spatial–Temporal Similarity Fusion Graph Adversarial Convolutional Networks for traffic flow forecasting

Bin Wang; Zhendan Long; Jinfang Sheng; Zhong Qiang

doi:10.1016/j.jfranklin.2024.107299

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JOURNAL ARTICLE

Spatial–Temporal Similarity Fusion Graph Adversarial Convolutional Networks for traffic flow forecasting

Bin Wang Zhendan Long Jinfang Sheng Zhong Qiang

Year: 2024 Journal: Journal of the Franklin Institute Vol: 361 (17)Pages: 107299-107299 Publisher: Elsevier BV

DOI: 10.1016/j.jfranklin.2024.107299

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Keywords:

Computer science Adversarial system Graph Artificial intelligence Similarity (geometry) Data mining Pattern recognition (psychology) Theoretical computer science

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Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Spatial–Temporal Similarity Fusion Graph Adversarial Convolutional Networks for traffic flow forecasting

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