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adaptive-tls

Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

adaptive-traffic-light-system

Adaptive Traffic Light Sytem using SUMO

ai-traffic-control-system

Final design project for my engineering degree

all-of-the-traffic-lights

Q-Learning for Urban Traffic Optimization

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

deep-rl-tsc

Distributed Deep Reinforcement Learning Traffic Signal Control

drl-traffic-lights-control

Deep Reinforcement Learning for Traffic Lights Control using SUMO

fanqiang

翻墙-科学上网

ga_traffic_light_optimizer_sumo

Evolutionary Algorithm to optimize waiting time in traffic lights.

h-

multi-agent-distributed-ppo-traffc-light-control

multi agent RL for traffic light control in Sumo using distributed PPO

policymappingtransformermarl

The code for paper 《基于自注意力机制和策略映射重组的多智能体强化学习算法》summbitted to 《计算机学报》

reinforce

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement_learning

RL based on the DQN paper by Liang and Du for the Douglas Traffic Light

strategotraffic

A case study for traffic light optimization using SUMO and Uppaal Stratego.

sumo-grid

A small scale traffic grid simulation made to run with SUMO v1.1.0. Includes a basic TRACI controller for traffic light systems.

sumo-multiagent

This is a multi agent reinforcement learning system using SUMO for large scale traffic light control

sumolights

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights

test1

traffic-light

Use of Computer Vision to control Traffic Light

traffic-light-control-system

Traffic Light Control System using Deep-Q-Learning

traffic-light-control-using-reinforcement-learning

Traffic Light Control problem using Actor- Critic algorithm in Simulation of Urban Mobility (SUMO) simulator

traffic-light-dqnagent

Deep Q-Learning traffic light agent using Reinforcement Learning to maximize efficiency in a custom SUMO environment

traffic-light-optimization

This example demonstrates waiting time minimization in a junction by changing the traffic light signal configuration, For the demonstration purpose SUMO is used.

traffic-lights

Keras+Tensorflow reinforcement learning on SUMO traffic light systems

trafficlights_control_pytorch_rl

deep reinforcement learing SUMO

trafficoptimizer

Used SUMO (Simulation of Urban Mobility) to run a traffic simulation and optimized the traffic light phase durations for better network throughput.