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Technical University of Munich

Research Groups

The Chair of Transportation Systems Engineering is divided into four research fields, each with its own focus, tools, and personnel.

This research group focuses on human factors, their impacts on transport, and their interactions within different aspects of the transportation industry.

Key areas of investigation:

  • Driving behavior (driving simulation, naturalistic driving)
  • Travel behavior (gender impact, socio-demographics)
  • Survey design
  • Acceptance of disruptive transport technologies (e.g., UAM, Hyperloop)
  • User experience evaluation, including comfort assessment in different transportation modes
  • Behavior modeling for transportation planning and policy 

Current projects:

Past projects:

Members:

Open thesis topics:

  • Modelling public transport choices in long-distance (intercity) trips. Mentoring: Dr. Arkadiusz Drabicki. Download description (release date 25.11.2024).
  • [Develop your own topic on Urban Air Mobility] Open master/bachelor thesis topic. Mentoring: Hao Wu. (release date: today)
    • Please refer to the UAM showcase, and the UAM project page in order to develop your own research topic. After having a thesis topic, you could send your CV and transcript of records to Hao Wu for arranging an appointment to discuss your potential master/bachelor thesis.

Key areas of investigation:

  • DTA model calibration
  • Redistributing metro demand to alleviate the effects of over capacity
  • Optimizing and modeling dynamic van-pooling services
  • Optimisation-based transportation operations
  • Optimisation-based multimodal freight operations

Members:

Open thesis topics:

This research group focuses on modelling and simulating inter/multimodal transportation systems, emerging mobility and vehicle technologies.

Key areas of investigation:

  • Transport demand and supply modeling (traditional and agent-based modeling)
  • Modeling multimodal transportation systems
  • Modeling emerging/on-demand mobility systems
  • Modeling autonomous/connected autonomous vehicles

Current projects:

Past projects:

Tools and frameworks:

Members:

Open thesis topics

  • Graph neural networks for strategic transport modelling. Mentoring: Santhanakrishnan Narayanan. Thesis scope is open for discussion (release date: 17.06.2024)
  • Demand-driven Vertiport Siting by Machine Learning and Agent-based Transport Simulation for UAM Network Expansion. Mentoring: Tao Guo and Hao Wu. Download description. (release date: 04.04.2024)
  • Using MATSim-UAM Extension to Simulate the Charging Behavior of UAM Vehicles for Further Scenarios. Mentoring: Hao Wu. Download description. (release date: 23.11.2023)
  • [Develop your own topic on Urban Air Mobility] Open master/bachelor thesis topic. Mentoring: Hao Wu. (release date: today)
    • Please refer to the UAM showcase, the UAM project page, and MATSim-UAM extension in order to develop your own research topic. After having a thesis topic, you could send your transcript of records (ideal also with CV) to wu.hao@tum.de to arrange an appointment to discuss your potential master/bachelor thesis.
  • [Develop your own topic on MATSim] Open master/bachelor thesis topic. Mentoring: Hao Wu. (release date: today)
    • You could send your transcript of records (ideal also with CV) to wu.hao@tum.de to arrange an appointment to discuss your potential master/bachelor thesis.

The group focuses on identifying and using publicly available data for analytics and modeling applied to transport. Taking advantage of the diversity of datasets available, the research topics are not limited to a specific application but cover a wide range of problems in travel demand and behavior, traffic safety, and transportation supply, among other emerging topics.

Key areas of investigation:

  • Demand calibration using opportunistic data.
  • Collection of trip attributes and mobility information from opportunistic sources.
  • Data fusion of multiple data sources for transportation modeling.
  • Travel behavior modeling and safety analysis using naturalistic driving data.
  • Transport supply modeling using OSM and GTFS data.
  • Data-driven modeling of traffic prediction.

Current projects:

Past projects:

Members:

Open thesis topics:

  • Demand-driven Vertiport Siting by Machine Learning and Agent-based Transport Simulation for UAM Network Expansion. Mentoring: Tao Guo and Hao Wu. Download description. (release date: 01.11.2024)
  • Data imputation using machine learning approaches. Mentoring: Santhanakrishnan Narayanan. Thesis scope is open for discussion (release date: 17.06.2024)
  • Graph neural networks for strategic transport modelling. Mentoring: Santhanakrishnan Narayanan. Thesis scope is open for discussion (release date: 17.06.2024)

See our research showcase for illustrative examples of the research that is being conducted at the Chair of Transportation Systems Engineering.

 

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