FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction
arXiv:2604.13453v1 Announce Type: new
Abstract: Traffic forecasting requires modeling complex temporal dynamics and long-range spatial dependencies over large sensor networks. Existing methods typically face a trade-off between expressiveness and effi…