Prof. Dr. Stefanie Schmidtner

Room: K206
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

Sustainable Urban Development and Artificial Intelligence

The research group sustainable urban development and artificial intelligence does research about the application of data science and ai methods for intelligent and sustainable mobility systems. It connects research about machine learning with the field of transportation systems and innovative mobility concepts. The aim is to foster sustainable, user centric and evidence based urban development und intelligent mobility systems. Statistical as well as machine/deep learning methods are used for answering the research questions.

 

Teaching

  • Statistics (Bachelor)
  • Data Science and AI KI for intelligent an sustainable mobile systems (Master, elective)
  • Introduction to Statistical Learning (Bachelor, elective)

  • Smart Mobility: Trends in intelligent an sustainable mobile systems (Master, elective)

Publications

2024
GERNER, Jeremias , Dominik RÖSSLE , Daniel CREMERS , Klaus BOGENBERGER , Torsten SCHÖN and Stefanie SCHMIDTNER , 2024 . Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation . 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). 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 and Klaus BOGENBERGER , 2024 . First steps towards real-world traffic signal control optimisation by reinforcement learning . Journal of Simulation , 18 , 957-972 . ISSN 1747-7778. Available at : https://doi.org/10.1080/17477778.2024.2364715
SCHLAMP, Anna-Lena , Jeremias GERNER , Klaus BOGENBERGER and Stefanie SCHMIDTNER , 2024 . User-Centric Green Light Optimized Speed Advisory with Reinforcement Learning . 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). 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 and Gordon ELGER , 2022 . Real World Traffic Optimization by Reinforcement Learning: A Concept . In: Minh Le Kieu; Koen H. van Dam; Jason Thompson; Nick Malleson; Alison Heppenstall; Jiaqi Ge . International Workshop on Agent-Based Modelling of Urban Systems (ABMUS) Proceedings: 2022. Page 49-54. Available at : https://doi.org/10.6084/m9.figshare.19733800.v1
MEESS, Henri , Jeremias GERNER , Daniel HEIN , Stefanie SCHMIDTNER and 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. Page 1699-1701. ISBN 978-1-4503-9213-6. Available at : https://dl.acm.org/doi/10.5555/3535850.3536081