DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic
Forecasting
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic
Forecasting
Accurate traffic forecasting is essential for effective urban planning and congestion management. Deep learning (DL) approaches have gained colossal success in traffic forecasting but still face challenges in capturing the intricacies of traffic dynamics. In this paper, we identify and address this challenges by emphasizing that spatial features are inherently …