Simulation framework to model and control the tasks of vehicle fleets (routing, user-assignment, charging, ...)

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Computational framework for reinforcement learning in traffic control

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

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.

Preconfig is a python program used to vary parameter values in files.

Repository for Demand-Responsive Transport (DRT) Tools compatibel with SUMO

The fundamental package for scientific computing with Python.

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…