AI-based traffic forecasting is transforming how cities anticipate congestion, optimize routes, and plan infrastructure, delivering clearer signals for decision-makers about when and where to act and how mobility policy can evolve.By leveraging cutting-edge models and diverse data streams, practitioners move beyond simple averages to forecast peak-hour conditions, enabling proactive measures such as adaptive signal timing, dynamic lane management, and targeted traveler information campaigns.