Traffic Controller (ML Simulation)
The system collects real-time data from traffic sensors at the intersection and uses a neural network to predict whether or not the traffic lights should change, based on the training data it learned from. By continuously analyzing current traffic conditions, the AI dynamically adjusts the traffic light to optimize flow, reduce congestion, and adapt to changing traffic patterns.