Traffic Flow Forecasting Model Based on Spatio-temporal Probability SparseAdaptive Hybrid Graph Convolution Network

Jiayuan Luo; Linlong Chen

doi:10.1109/itme63426.2024.00072

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JOURNAL ARTICLE

Traffic Flow Forecasting Model Based on Spatio-temporal Probability SparseAdaptive Hybrid Graph Convolution Network

Jiayuan Luo Linlong Chen

Year: 2024 Pages: 321-330

DOI: 10.1109/itme63426.2024.00072

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Keywords:

Computer science Convolution (computer science) Graph Control flow graph Theoretical computer science Data mining Artificial intelligence Artificial neural network

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Advanced Decision-Making Techniques

Physical Sciences → Computer Science → Information Systems

Traffic Flow Forecasting Model Based on Spatio-temporal Probability SparseAdaptive Hybrid Graph Convolution Network

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