Smart Traffic Light Control using Reinforcement Learning (Q-Learning) is an AI-based approach that automatically adjusts traffic signals based on real-time traffic conditions. By learning optimal actions through continuous interaction with the environment, the system reduces congestion, minimizes waiting time, and improves overall traffic flow in smart cities.
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