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traffic-simulation

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Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

  • Updated May 24, 2019
  • Python

GPU-accelerated, multi-GPU traffic microsimulator built for HPC and RL research at city scale β€” powers ICML 2026 work on deep-RL ride-hailing dispatch and supports closed-loop policy training over networks with hundreds of thousands of nodes and millions of agents.

  • Updated May 20, 2026
  • Jupyter Notebook
Smart-Adaptive-Traffic-Management-System

πŸš—πŸš¦ Introducing our Smart Adaptive Traffic Management System! πŸ“·πŸ§  Using YOLO v8 object detection & CCTV cameras, we analyze real-time traffic. By tracking vehicles πŸš™ & pedestrians 🚢, we enhance signal timings for better flow, safety, & reduced congestion. Drive smarter with us! 🌐🏞️

  • Updated Jun 11, 2024
  • Python

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