0Ccccd's Stars
chuxuzhang/KDD2019_HetGNN
code of HetGNN
Ujwal2910/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.
wingsweihua/IntelliLight
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
wingsweihua/colight
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Pi-Star-Lab/RESCO
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
maxbrenner-ai/Multi-Agent-Distributed-PPO-Traffc-light-control
multi agent RL for traffic light control in Sumo using distributed PPO
suessmann/intelligent_traffic_lights
Traffic Lights Control with Deep Learning
MrLeedom/sumo_RL
利用sumo作为仿真平台，采用强化学习中的DQN进行交通信号灯相位时间的调整
LMozart/sumo-multiagent
This is a multi agent reinforcement learning system using SUMO for large scale traffic light control
AmenRa/drl-traffic-lights-control
Deep Reinforcement Learning for Traffic Lights Control using SUMO
indrajitsadhukhan/Improving-traffic-flow-in-a-single-intersection-using-data-from-its-neighbouring-intersections
It is a project build on Simulation Of Urban Mobility(SUMO) to simulate a single intersection and optimize the traffic by minimizing queue lengths and waiting time using Traci (Traffic Control Interface). It is a real-time traffic solution which can be used to minimize traffic on a single intersection.
pengyuan-zhou/Multi-agent-RL-traffic-light-control
Decentralized reinforcement learning for city-scale traffic light control
LiangZhang1996/Efficient_XLight
Official code for "Efficient Pressure: Improving efficiency for signalized intersections ".
IsuruKalhara/ga_traffic_light_optimizer_sumo
Evolutionary Algorithm to optimize waiting time in traffic lights.
wellingtoncruz/python-algoritmo-genetico
Genetic algorithm implementation written in Python. Modeled to find the optimized time for intelligent traffic lights and maximize the traffic flow crossing two streets with random and unbalanced traffic streams.
muhammadsohaib60/Traffic-Congestion-Avoidance-For-Autonomous-Vehicles-Using-Reinforcement-Learning
The Aim of this project is to design an algorithm that will significantly decrease the trip times of vehicles as well as average car density on the map. Simulations will be used to simulate the Environment. SUMO environment will be utilized to design the road network, apply traffic policies and integrate intelligent algorithms with it. SUMO is a free and open traffic simulation suite that allows modeling of intermodal traffic systems including road vehicles, public transport and pedestrians.
umerjamil16/Deep-Q-Learning---SUMO
AleksandraMilic/traffic-light-optimization
COS301-SE-2020/Traffic-Light-Optimization
The aim of this project is to develop a virtual traffic network whose main target is to be able to optimize the traffic flow through a well calculated timing of traffic light changing. This would be archived by the use of AI operations performed on data sent periodically from traffic light intersections.