Innovative mobility solutions for urban transport in Tallinn, Estonia

Package delivery via drones and 3rd party cabs.

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

applying multi-agent reinforcement learning for highway-merging autonomous vehicles

The Decentralized Autonomous Vehicles project connects self-driving vehicles on a blockchain network, enabling secure real-time decision-making. It leverages decentralized nature, incident data sharing, and Vehicular IoT/VANET technology to enhance vehicle autonomy and ensure data security and privacy.

This project allows you to simulate multiple Virtual Coupling scenarios (ERTMS L4) in the SUMO environment.

This is a repository for my Masters Thesis called Cognitive technologies in traffic light control.

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

Python Package to perform simple Traffic Interventions and run traffic simulations.

Simulação criada na plataforma SUMO de um trecho da cidade de Santa Maria. Foi criado a linha Bombeiros-UFSM com as paradas geograficamente nos pontos reais

Lane Changer Agent DQN

Repository of code developed for the course MSSI @FEUP.

sumo和ns3之间进行通信的框架(通过ns3控制sumo)

This is the starter kit for new SUMO (Simulation Urban Mobility) users. See Readme for details.

SUMO Integration with Google Maps

A novel modification to existing k-shortest path algorithms which re-routes drivers with regard to reducing average travel time whilst maintaining fairness

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