Hi Michael,
thank you for raising this. I do not have a license for the OmlFgServer myself, so I cannot say under which terms it could be redistributed. The server and the accompanying dlls are part of the LISA+ software suite.
In PyLiSuM I simply use the OmlFgServer that is linked on the original LiSuM page, where the link points to a private GitHub repository. I compared it with the version shipped in the LISA+ academic suite and found no relevant difference. Therefore users who have the suite can take the files directly from their own installation.
From my side I can remove the server and the dlls from the repository and keep only the folder structure. I would then document in detail where these files can be found in the LISA+ installation and into which folder they have to be copied. In that case SUMO would not distribute anything license-critical, and users with a LISA+ license can still run PyLiSuM without extra effort.
One more word on the motivation. PyLiSuM keeps the whole workflow in Python, so it fits directly into TraCI and into the current work on AI-based signal control, where the common reinforcement learning frameworks are also Python.
Would that work for you? If yes, I will prepare the repository accordingly and send you the updated submodule.
Best regards,
Markus
From: Michael.Behrisch@xxxxxx <Michael.Behrisch@xxxxxx>
Sent: Tuesday, 15 September 2026 13:54
To: Zhou, Runhao <runhao.zhou@xxxxxxxxxxxxx>
Cc: sumo-dev@xxxxxxxxxxx
Subject: AW: [sumo-dev] FW: PyLiSuM contribution to SUMO
Hi Markus,
thanks for providing this one! One critical point is of course the license especially concerning the OmlFgServer and the accompanying dlls. I am not sure we can distribute those or do you have any information under which terms we could include them?
Best regards,
Michael
Hello Jakob,
thank you for the confirmation, and no problem about the timing.
The code is here: https://github.com/TU-Dresden-VPA/PyLiSuM. I am happy to make any adjustment you need for the submodule integration.
I have also drafted a short description for the LiSuM documentation page (LiSuM - SUMO Documentation):
“A Python-based implementation of LiSuM is available at https://github.com/TU-Dresden-VPA/PyLiSuM. It reproduces the main LiSuM workflow and additionally supports the reception and processing of R.09 telegrams. Usage details are described in the publication [Zhou, M. R.; Krüger, J.; Wang, M. Simulation of DACH-Style Detector-Actuated Traffic Signal Control in SUMO: A Python-Based Platform for LISA+® Logic with Loop Detectors, Push Buttons, Radio Beacons and R09-Telegrams. SUMO Conf Proc 2026, 7, unknown pages].”
Please let me know the next steps for the submodule setup, then I will prepare everything from my side.
Best,
Markus
--
Best regards | Mit freundlichen Grüßen,
---------------------------------------------------------
Dipl.-Ing. Markus Runhao ZHOU (Mr. | Herr)
Academic staff & PhD candidate | Wissenschaftlicher Mitarbeiter & Doktorand
Technische Universität Dresden
„Friedrich List“ Faculty of Transport and Traffic Sciences
Chair of Traffic Process Automation
01069 Dresden, Germany
Tel.: +49 351 463-37456
E-Mail: runhao.zhou@xxxxxxxxxxxxx
Dear Markus Runhao Zhou,
I confirm that we are happy to integrate PyLiSuM as a git submodule and I'm personally glad to hear about your desire to continue supporting it.
Sorry for the late reply.
best regards,
Jakob
Am So., 6. Sept. 2026 um 15:53 Uhr schrieb Runhao Zhou via sumo-dev <sumo-dev@xxxxxxxxxxx>:
Dear SUMO developers,
I would like to follow up on my email from 21 July about contributing PyLiSuM to SUMO (see below). Is there any progress or feedback on this?
If you need more information from my side, just tell me. I am happy to prepare whatever is needed for the next step.
Thank you.
--
Best regards | Mit freundlichen Grüßen,
---------------------------------------------------------
Dipl.-Ing. Markus Runhao ZHOU (Mr. | Herr)
Academic staff & PhD candidate | Wissenschaftlicher Mitarbeiter & Doktorand
Technische Universität Dresden
„Friedrich List“ Faculty of Transport and Traffic Sciences
Chair of Traffic Process Automation
01069 Dresden, Germany
Tel.: +49 351 463-37456
E-Mail: runhao.zhou@xxxxxxxxxxxxx
Dear SUMO developers,
My name is Markus, and I am a researcher at TU Dresden. I presented PyLiSuM, a Python implementation of the LiSuM middleware, at the SUMO User Conference 2026. I am writing to ask whether PyLiSuM could be contributed to the SUMO project.
Repository: https://github.com/TU-Dresden-VPA/PyLiSuM
PyLiSuM is a Python-based middleware for coupling SUMO with LISA+ traffic signal control. In addition to reproducing the main LiSuM workflow, I have extended it to support the reception and processing of R.09 telegrams.
Last year, I discussed the project with Dr. Michael Behrisch. He suggested two possible integration options:
- Keep PyLiSuM in our existing repository and integrate it into SUMO as a Git submodule.
- Transfer the code directly into the SUMO repository through a pull request.
My preferred option would be the Git submodule approach, as this would allow me to continue maintaining PyLiSuM in our chair’s repository.
Could you please confirm whether this work would be suitable as a contribution to SUMO? If so, I would appreciate your guidance on the next steps, including the preferred repository location, documentation requirements, and any licensing or technical requirements that should be addressed before preparing a pull request.
Thank you for your consideration.
--
Best regards | Mit freundlichen Grüßen,
---------------------------------------------------------
Dipl.-Ing. Markus Runhao ZHOU (Mr. | Herr)
Academic staff & PhD candidate | Wissenschaftlicher Mitarbeiter & Doktorand
Technische Universität Dresden
„Friedrich List“ Faculty of Transport and Traffic Sciences
Chair of Traffic Process Automation
01069 Dresden, Germany
Tel.: +49 351 463-37456
E-Mail: runhao.zhou@xxxxxxxxxxxxx
Project website: ABSOLUT II - Autonomous On-Demand Shuttles Providing Individual Public Transport Services for the Suburban Areas of Leipzig
--------------------------------------------------------------
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