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Forecasting Road Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies Based on a Graph Convolutional Neural Network (GCN)

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES(2020)

Cited 166|Views119
Key words
Traffic state forecasting,Graph convolutional neural network (GCN),Spatio-temporal dependencies,Traffic management,Generative adversarial framework
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