🚦 Next-generation AI Traffic Management System with real-time computer vision, reinforcement learning optimization, emergency vehicle detection, and immersive 3D visualization
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Updated
Oct 14, 2025 - Python
🚦 Next-generation AI Traffic Management System with real-time computer vision, reinforcement learning optimization, emergency vehicle detection, and immersive 3D visualization
SUMO
An intelligent traffic management agent developed with Deep Reinforcement Learning (DQN) and PyTorch. This project optimizes signal timings in real-time, achieving a 26% reduction in average vehicle wait time and 17% queue reduction in SUMO simulations compared to fixed-timer baselines.
A centralized deep reinforcement learning framework for adaptive urban traffic signal control, leveraging simulation-based environments to minimize congestion and optimize traffic flow.
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