ddogfoodd/traffic-simulation

This is the traffic-simulation repository of the OvGU AILab. It contains a collection of tools and documentation regarding traffic simulation using the Eclipse SUMO (Simulation of Urban MObility) framework.

Traffic Simulation Repository of AILab

This is the traffic-simulation repository of the OvGU AILab.
It contains a collection of tools and documentation regarding traffic simulation using the Eclipse SUMO (Simulation of Urban MObility) framework.

Purpose:

This repo collects tools/scripts/documentation used in our research. It mainly contains Python ↔︎ SUMO interactions on a higher level than regular SUMO interfaces like TraCI.

Install and setup SUMO:

To install and test SUMO refer to our installation/setup doc.

Tools:

• createsimulation.py - create SUMO files for a grid world (Link to file)
• verify.py - verify that SUMO installation works (Link to file)
• get_safe_phases.py - calculate set of connections that can share the same green phase without leading to collisions (More Info, Link to file)
• gym_env_graph_rl.py - Gymnasium (previously gym) environment that was used for Graph RL with SUMO data (Link to file)

Docs:

The documentation is generated from markdown files in the docs dir and docstrings in python scripts.

Contributing:

Feel free to contribute to this repo by adding more tools or docs or even fix bugs or expand functionality in existing tools.
Please create a new branch and work on there. When finished, create a merge request.
If you don't want to code, we also appreciate contributions in the form of ideas or feature requests. Just create an issue.