Traffic jams cost cities billions in lost productivity and create environmental and health challenges. AI-powered predictive models are giving urban planners new tools to anticipate and prevent congestion before it happens.

By analyzing data from cameras, sensors, and GPS signals, AI can forecast traffic conditions with remarkable accuracy. Some cities are already using these systems to adjust traffic signals in real time, easing congestion during peak hours.

The promise of AI in traffic management is significant: smoother commutes, lower emissions, and improved safety. As technology advances, the challenge will be ensuring that predictive models remain transparent, fair, and adaptable to the unique patterns of each city.