Sumo Python Packages

fmu-sumo

Interaction with Sumo in the FMU context

sumo-wrapper-python

Thin python wrapper to interact with Sumo API

fmu-dataio

FMU data standard and data export with rich metadata in the FMU context

utdf2gmns

utdf2gmns makes Synchro traffic data easier to use and share. It converts UTDF files into GMNS, SUMO, and other interoperable formats, helping researchers and practitioners move efficiently from signal-timing data to network analysis and traffic simulation.

routerl-nightly

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

commonroad-scenario-designer

Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.

sumo-pipelines

Building Blocks for SUMO Traffic Simulation Pipelines. Execute in Parallel or Sequentially

sumo-rl

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

agentsumo-mcp

AgentSUMO: An Agentic Framework for Interactive Simulation Scenario Generation in SUMO via Large Language Models

sumo3dviz

sumo3Dviz is a lightweight, open-source 3D visualisation pipeline for SUMO traffic simulations. It converts standard SUMO simulation outputs, such as vehicle trajectories and signal states, into high-quality 3D renderings using a Python-based framework.

routerl

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

trafficinterventions

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

routerlurb

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

intersection-control

An environment-agnostic framework for comparing intersection control algorithms