INRIX

Urban Traffic Congestion Prediction via Deep Learning and Spatial-Temporal Modeling

This is like a high‑tech weather forecast, but for traffic jams. It looks at how traffic has behaved across a city over time and space (roads, intersections, hours of day) and then predicts where and when congestion will build up, so planners and operators can act before it happens.