sumo

Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with gym, PettingZoo and popular RL libraries.

Sumo is a library that prepares for fast upload for iOS. It is effective when uploading by selecting images continuously.

Veins - The open source vehicular network simulation framework.

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.

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.

Luxembourg SUMO Traffic (LuST) Scenario

Monaco SUMO Traffic (MoST) Scenario

Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. 🐳 🚗

A multi-stack, ETSI compliant, V2X framework for ns-3.

Unified All-in-one Monero, Sumokoin, Aeon and other Cryptonote miner

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

Reinforcement Learning-based VANET simulations

Traffic Control Test Bed

An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).

A repository with current SUMO Libraries used in Windows compatible with Visual Studio 2019 and 2022

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

Very very simple run on sumo

A model problem for big data self adaptive systems using SUMO and TraCI

Events and Situations Ontology

SUMO Scenario Generator is a web application that generates and downloads the necessary files to start a basic road traffic simulation in SUMO. Visit the official Eclipse SUMO repository: https://github.com/eclipse/sumo - More info about SUMO: https://eclipse.org/sumo/ - SUMO Documentation: https://sumo.dlr.de/docs/

Town growth simulator that creates road networks

Python Parking Monitoring Library for SUMO

InTAS is the Ingolstadt traffic scenario for SUMO, which was designed, developed and validated with real traffic data from measuring points.

Detection adn Prevention of Security attack in VANET simulation using SUMO, NS3

Creating a simple intersection with SUMO and integrate it with Veins

We provide an open source software package for AV based simulation and testing running a docker container

Python API for the SUMO environment of Plymouth Rd.

sumo和ns3之间进行通信的框架(通过ns3控制sumo)

VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning