The State of Bicycle Modeling in SUMO




Microscopic traffic simulation, SUMO, Bicycles


Microscopic traffic simulation tools provide ever-increasing value in the design and implementation of motor vehicle transport systems. Research and development of automated and intelligent technologies have highlighted the usefulness of simulation tools and development efforts have accelerated in recent years. However, the majority of traffic simulation software is developed with a focus on motor vehicle traffic and has limited capabilities in the simulation of bicycles and other micro-mobility modes. Bicycles, e-bikes and cargo bikes represent a non-negligible modal share in many urban areas and their impact on the operation, efficiency and safety of traffic systems must be considered in any comprehensive study. The Differentiation between different types of micro-mobility modes, including microcars, e-kick scooters, different types of bicycles and other personal mobility devices, has not yet attracted enough attention in the development of simulation software which creates difficulties in including these modes in simulation-based studies. On November 25th, 2022, members of the SUMO team at DLR organized a workshop to assess the state of bicycle simulation in SUMO, identify shortcomings and missing capabilities and prioritize the order in which bicycle traffic related features should be modified or implemented in the future. In this paper, different aspects of simulating bicycle traffic in SUMO are examined and an overview of the results of the workshop discussions is given. Some suggestions for the future development of SUMO emerging from this workshop, are presented as a conclusion.


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A.-S. Karakaya, K. Köhler, J. Heinovski, F. Dressler and D. Bermbach, "A Realistic Cyclist Model for SUMO Based on the SimRa Dataset," in 2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet), 2022. DOI:

H. Twaddle, T. Schendzielorz and O. Fakler, "Bicycles in urban areas: Review of existing methods for modeling behavior," Transportation research record, vol. 2434, p. 140–146, 2014. DOI:

H. Kaths, "Cyclists’ interactions with other road users from a safety perspective," Cycling, p. 187, 2022. DOI:

C. Nobis, "Mobilität in Deutschland- MiD: Analysen zum Radverkehr und Fußverkehr," 2019.

Bundesministerium für Verkehr und digitale Infrastruktur (BMVI), Nationaler Radverkehrsplan 3.0: Fahrradland Deutschland 2030, Berlin, 2021.

"SUMO User Documenation," 10th Feb. 2023. [Online]. Available:

S. Krauß, "Microscopic modeling of traffic flow: Investigation of collision free vehicle dynamics," 1998.

A. Kesting, M. Treiber and D. Helbing, "Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity," Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 368, p. 4585–4605, 2010. DOI:

D. Salles, S. Kaufmann and H.-C. Reuss, "Extending the intelligent driver model in SUMO and verifying the drive off trajectories with aerial measurements," in SUMO Conference Proceedings, 2020.

J. Erdmann, "SUMO’s lane-changing model," in Modeling Mobility with Open Data: 2nd SUMO Conference 2014 Berlin, Germany, May 15-16, 2014, 2015.

"SublaneModel," 10th Feb. 2023. [Online]. Available:

G. Falkenberg, A. Blase, T. Bonfranchi, L. Cosse, W. Draeger, P. Vortisch, L. Kautzsch, H. Stapf and A. Zimmermann, "Bemessung von Radverkehrsanlagen unter verkehrstechnischen Gesichtspunkten," Berichte Der Bundesanstalt Fuer Strassenwesen. Unterreihe Verkehrstechnik, 2003.

S. Amini, H. Twaddle and A. Leonhardt, "Modelling of the tactical path selection of bicyclists at signalized intersections," in Transportation Research Board 95th Annual Meeting, 2016.

A. Meister, K. W. Axhausen, M. Felder and B. Schmid, "Route choice modelling for cyclists on dense urban networks," Available at SSRN 4267767, 2022. DOI:

Regulation (EU) No 168/2013, 2013.

U. Wilensky, "NetLogo. Center for Connected Learning and Compter-Based Modeling, Northwestern University, Evanston, IL.," 1999.

A. U. Kemloh Wagoum, M. Chraibi and G. Lämmel, "JuPedSim: an open framework for simulating and analyzing the dynamics of pedestrians," 2015.

H. A. Twaddle, "Development of tactical and operational behaviour models for bicyclists based on automated video data analysis," 2017.

M. Semrau and J. Erdmann, "Simulation framework for testing ADAS in Chinese traffic situations," SUMO 2016–Traffic, Mobility, and Logistics, vol. 30, p. 103–115, 2016.

P. A. Lopez, M. Behrisch, L. Bieker-Walz, J. Erdmann, Y.-P. Flötteröd, R. Hilbrich, L. Lücken, J. Rummel, P. Wagner and E. Wießner, "Microscopic traffic simulation using sumo," in 2018 21st international conference on intelligent transportation systems (ITSC), 2018. DOI:




How to Cite

Roosta, A., Kaths, H., Barthauer, M., Erdmann, J., Flötteröd, Y.-P., & Behrisch, M. (2023). The State of Bicycle Modeling in SUMO. SUMO Conference Proceedings, 4, 55–64.

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