Roadway Capacity-driven Graph Convolution Network for Network-Wide Traffic Prediction
The Roadway Capacity-driven Graph Convolution Network (RCDGCN) model integrates static and dynamic roadway capacity attributes in spatio-temporal settings to predict network-wide traffic states.
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