Jonas Jostmann | KTH Royal Institute of Technology

About Me

I am a PhD student at KTH Royal Institute of Technology in the group of Dr. Zhenliang Ma since Sep. 2023. After graduating with a master’s degree in Information Systems from the University of Münster in Germany, I worked for two years as a Data Scientist for Predictive Maintenance at CLAAS. My current research is focused on Digital Twins for transportation.

Research Interests

Digital Twins: IT architecture (Sensing, communication, visualization), Robust Traffic Signal Control
Traffic Simulation: Online pathflow estimation

News

[Jul. 2025] Presented our research at the Transit Data and CASPT 2025 in Kyoto, Japan.
[Jan. 2025] Presented joint research with the MIT Sensable Lab and RISE at the TRB 2025 in Washington, DC.

Publications

Open Source Digital Twin Platform for Public Transport: A Case Study in Stockholm

Jonas Jostmann, Tong Mo, Haoyan Wang, Zhenliang Ma

International Conference on Advanced Systems in Public Transport: and TransitData 2025, Kyoto, Japan

Digital twin for urban traffic emission nowcasting and forecasting: A case study in Kista, Stockholm

Jonas Jostmann, Songhua Hu, Anton Gustafsson, Paolo Santi, Carlo Ratti, Zhenliang Ma

The 104rd Transportation Research Board (TRB) Annual Meeting, January 5-9, 2025, Washington, DC, USA

Extendable Digital Twin Architecture for Public Transport: A Prototype in Stockholm

Jonas Jostmann, Tong Mo, Giancarlo Herring-Calvo, Zhenliang Ma

Transit Data 2024: The 9th International Workshop and Symposium on Research and Applications on the Use of Passive Data from Public Transport, 01-04 July 2024, University College London and Transport for London, London, UK

Machine-Learning informed simulation-based dynamic traffic assignment with SUMO

Jonas Jostmann, Gunnar Flötteröd, Zhenliang Ma

SUMO User Conference 2024, 13-15 May 2024, German Aerospace Center (DLR)-Institute of Transportation Systems, Berlin, Germany