Prof. Dr. Stefanie Schmidtner

Sustainable Urban Development and Artificial Intelligence

+49 841 9348-3814

Stefanie.Schmidtner@thi.de

Room: K201

Subject Area: Sustainable Urban Development and Artificial Intelligence

Research

Research focus:

Sustainable and intelligent mobility systems
Data Science & Machine Learning in mobility systems
Reinforcement Learning in mobility systems

in research institutes AImotion Bavaria and AININ.

Vita

Since 02/2021 at THI
11/2018 - 01/2021: Data Scientist and project lead in the pre-development of smart mobility at Audi AG (Audi Electronics Venture GmbH and Cariad SE)
08/2017 - 10/2018: Data scientist and functions developer at Audi AG
05 - 08/2015: Research stay at Nanyang Technological University, Singapore
10/2012 - 07/2017: Research Scientist and PhD candidate at Susanne Klatten endowed chair for empirical educational research at Technische Universität München, Munich
2007 – 2012: Studies of Mathematics and Physics (secondary education) at Technische Universität München, Munich

Git Repository

Teaching Activity

Statistics: Lecture and Exercises (Bachelor)
AI Applications in Mobility (Bachelor)
Introduction to Statistical Learning (Bachelor)
Data Science and AI for Intelligent and Sustainable Mobility Systems (Master)
Smart Mobility: Trends in Intelligent and Sustainable Mobility Systems (Master)
Data Engineering and Analytics (Master)
Applied Scientific Work (Master)

Sustainable Urban Development and Artificial Intelligence

The research group for Sustainable Urban Development and Artificial Intelligence focuses on data science and AI applications for intelligent and sustainable mobility systems. The aim of the research group is to combine research on data analysis and machine learning with research on mobility and transport as well as new mobility concepts, and to promote sustainable, intelligent, user-centered, and evidence-based urban development through application-oriented research. Both statistical and machine/deep learning-based methods are used for this purpose.

Our research fields:

Application of Data Science and AI in intelligent and sustainable mobility systems
Intelligent traffic control and coordination of different modes of transportation
AI based evaluation of mobility needs and design mobility solutions
Interaction between automated driving and infrastructure/traffic control

Research projects

5GoIng

Beyond Validation AI

Mensch in Bewegung

NEwAIste

newMIND

Members of the research group

Philip-Roman Adam
Research Associate
Philip-Roman.Adam@thi.de
+49 841 9348-3817

Alexander Bönisch
Research Associate
Alexander.Boenisch@thi.de
+49 841 9348-3826

Jeremias Gerner
Research Associate
Jeremias.Gerner@thi.de
+49 841 9348-6611

Alexander Horn
Research Associate
Alexander.Horn@thi.de
+49 841 9348-2883

Pushkar Mahajan
Research Associate
Pushkar.Mahajan@thi.de
+49 841 9348-3411

Sven Pflaumbaum
Research Associate
Sven.Pflaumbaum@thi.de
+49 841 9348-7786

Anna-Lena Schlamp
Research Associate
Anna-Lena.Schlamp@thi.de
+49 841 9348-6617

Publications

2026

HORN, Alexander, Philip-Roman ADAM und Stefanie SCHMIDTNER, 2026. A Benchmark Dataset for Bus Travel and Dwell Time Prediction. 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, Page 2047-2054. ISBN 979-8-3315-2418-0. Available at: https://doi.org/10.1109/ITSC60802.2025.11423733

SCHLAMP, Anna-Lena, Jeremias GERNER, Klaus BOGENBERGER, Werner HUBER und Stefanie SCHMIDTNER, 2026. ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic. 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, Page 726-733. ISBN 979-8-3315-2418-0. Available at: https://doi.org/10.1109/ITSC60802.2025.11423540

2025

BIALDYGA, Maximilian, Andreas EICH, Christian FACCHI, Andreas FESTAG, Nicole HINTERBERGER, Abhishek Dinkar JAGTAP, Frank LEHMANN, Stefan SCHIESSER, Anna-Lena SCHLAMP, Stefanie SCHMIDTNER und Rui SONG, 2025. Abschlussbericht zum Projekt 5GoIng – 5G-Innovationskonzept Ingolstadt. Hannover: TIB. Available at: https://doi.org/10.34657/22341

ZHANG, Yunfei, Jeremias GERNER, Mario ILIC, Stefanie SCHMIDTNER und Klaus BOGENBERGER, 2025. Autonomous Vehicles as Sensors: Traffic State Estimation. 104th Annual Meeting of the Transportation Research Board (TRB). Washington: National Academy of Sciences.

ROLLWAGEN, Alice, Alexander HORN, Stefanie SCHMIDTNER und Andreas RIENER, 2025. Communicating Uncertainty in Arrival Time Predictions for Public Transport: A Comparison of Point and Interval Forecasts. MuC´25: Proceedings of the 2025 Conference on Mensch und Computer. New York: ACM, Page 515-519. ISBN 979-8-4007-1582-2. Available at: https://doi.org/10.1145/3743049.3748542

2024

GERNER, Jeremias, Dominik RÖSSLE, Daniel CREMERS, Klaus BOGENBERGER, Torsten SCHÖN und Stefanie SCHMIDTNER, 2024. Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, Page 2396-2403. ISBN 979-8-3503-9946-2. Available at: https://doi.org/10.1109/ITSC57777.2023.10422398

MEESS, Henri, Jeremias GERNER, Daniel HEIN, Stefanie SCHMIDTNER, Gordon ELGER und Klaus BOGENBERGER, 2024. First steps towards real-world traffic signal control optimisation by reinforcement learning. Journal of Simulation, 18(6), 957-972. ISSN 1747-7778. Available at: https://doi.org/10.1080/17477778.2024.2364715

GERNER, Jeremias, Klaus BOGENBERGER und Stefanie SCHMIDTNER, 2024. Investigating Floating Car Observers for Traffic State Estimation through Co-Simulation. MFTS: The 5th Symposium on Management of Future Motorway and Urban Traffic System 2024. Haifa: Technion.

GERNER, Jeremias, Klaus BOGENBERGER und Stefanie SCHMIDTNER, 2024. Temporal Enhanced Floating Car Observers. 2024 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, Page 1035-1040. ISBN 979-8-3503-4881-1. Available at: https://doi.org/10.1109/IV55156.2024.10588538

RÖSSLE, Dominik, Jeremias GERNER, Klaus BOGENBERGER, Daniel CREMERS, Stefanie SCHMIDTNER und Torsten SCHÖN, 2024. Unlocking Past Information: Temporal Embeddings in Cooperative Bird’s Eye View Prediction [Preprint]. arXiv. Available at: https://doi.org/10.48550/arXiv.2401.14325

SCHLAMP, Anna-Lena, Jeremias GERNER, Klaus BOGENBERGER und Stefanie SCHMIDTNER, 2024. User-Centric Green Light Optimized Speed Advisory with Reinforcement Learning. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, Page 3463-3470. ISBN 979-8-3503-9946-2. Available at: https://doi.org/10.1109/ITSC57777.2023.10422501

2022

MEESS, Henri, Jeremias GERNER, Daniel HEIN, Stefanie SCHMIDTNER und Gordon ELGER, 2022. Real World Traffic Optimization by Reinforcement Learning: A Concept. In: KIEU, Minh Le, Koen H. van DAM, Jason THOMPSON, Nick MALLESON, Alison HEPPENSTALL und Jiaqi GE, Editors International Workshop on Agent-Based Modelling of Urban Systems (ABMUS) Proceedings: 2022. [s. l.]: figshare, Page 49-54. Available at: https://doi.org/10.6084/m9.figshare.19733800.v1

MEESS, Henri, Jeremias GERNER, Daniel HEIN, Stefanie SCHMIDTNER und Gordon ELGER, 2022. Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation. AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. Richland: International Foundation for Autonomous Agents and Multiagent Systems, Page 1699-1701. ISBN 978-1-4503-9213-6. Available at: https://dl.acm.org/doi/10.5555/3535850.3536081

Award

Rotary Research Award 2023 of the Rotary Club Ingolstadt