A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios

Yangxinyu Xie, Tanwi Mallick

Spatiotemporal graph neural networks have achieved state-of-the-art performance in traffic forecasting. However, they often struggle to forecast congestion accurately due to the li…