Seq2-ResGCRN: Sequence-to-Sequence Residual Graph Convolutional Recurrent Network for Traffic Flow Prediction
Accurate traffic flow prediction remains challenging due to the complex spatio-temporal dependencies inherent in road networks. Existing graph-based prediction models typically construct the graph structure from geographical adjacency. This limits spatial feature extraction to physically neighboring nodes. Consequently...