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Smart Traffic Signals In India Using Deep Reinforcement Learning And Advanced Computer Vision ⭐ 55

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.

Reinforcement Learning Sumo ⭐ 30

Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework

Traffic Control Test Bed

Amaz3dsim ⭐ 16

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

Vehicular traffic flow simulator in road network, written in pure Python

Best Scenario ⭐ 10

Berlin Sumo Traffic (BeST) Scenario

Cav_traffic_simulation_chatgpt ⭐ 7

Connected & Automated Vehicles (CAV) Traffic Simulator created using Python and ChatGPT.

Hermes Simulation ⭐ 7

HERMES, a tool to ease simulation of road networks with different ATIS systems.

Fake_traffic ⭐ 5

Imitating an Internet user by mimicking popular web traffic (internet traffic generator).

Trafficbots ⭐ 5

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023.

Gym Graph Traffic ⭐ 5

Road traffic simulator for OpenAI Gym

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