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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 simulator for large-scale network flow and agent-based optimization: powers ICML 2026 deep-RL dispatch, MoE routing policies, and closed-loop LLM-driven fleet optimization over networks with hundreds of thousands of nodes and millions of agents.

  • Updated Jun 29, 2026
  • C++
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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