Incident-Guided Spatiotemporal Traffic Forecasting
arXiv:2602.02528v2 Announce Type: replace-cross
Abstract: Recent years have witnessed the rapid development of deep-learning-based, graph-neural-network-based forecasting methods for modern intelligent transportation systems. However, most existing wo…