A smart traffic light management dashboard using SUMO and reinforcement learning to simulate traffic flow, optimize signal timing, and improve vehicle movement at intersections.
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Updated
Jun 16, 2026 - Python
A smart traffic light management dashboard using SUMO and reinforcement learning to simulate traffic flow, optimize signal timing, and improve vehicle movement at intersections.
An Intelligent Traffic Light Control system using Reinforcement Learning. Compares Deep Q-Network (DQN) and Tabular Q-Learning to optimize traffic flow in SUMO simulator.
Multi-agent reinforcement learning (PPO) for adaptive traffic signal control, built with SUMO and Stable-Baselines3
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