Traffic Flow Prediction

Dynamic Learning Graph Convolution Mechanism for Short-Term Traffic Flow Prediction

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Dynamic Learning Graph Convolution Mechanism for Short-Term Traffic Flow Prediction

Academic Dynamics Dynamic Learning Graph Convolution Mechanism for Short-Term Spatio-Temporal Traffic Flow Prediction Model Short-term traffic flow prediction is a core branch of intelligent transportation systems and plays an important role in traffic management. Graph Convolutional Networks (GCN) are widely used in traffic prediction models, effectively handling the graphical structure data of road networks. However, … Read more