JaamCTRL – AI Adaptive Traffic Signal Optimizer
Simulated a three-intersection Indian arterial corridor in SUMO with heterogeneous traffic. Engineered a central PPO reinforcement learning agent using stable-baselines3, GPS heatmap density, and per-signal queue lengths to coordinate green-time adjustments. Reduced average vehicle delay by over 50% against fixed-time baselines and validated results through a Streamlit dashboard.