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:

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:

  • Assessing charging strategies for electric vehicles: Application of multiple-criteria decision-making methods. Mentoring: Mohammad Sadrani. (release date: 17.10.2022)

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:

  • Mode choice modeling to and from Munich Airport: case study on Urban Air Mobility. Mentoring: Filippos Adamidis and Hao Wu. Download description. (release date: 12.10.2022)
  • Environmental impacts assessment approach with MATSim: a case study on public transportation-related emissions for the greater Munich area. Mentoring: Hao Wu. (release date: 22.10.2022)
  • Environmental impacts assessment approach with R: a case study on public transportation-related emissions for the greater Munich area. Mentoring: Hao Wu. Download description. (release date: 06.12.2022)
  • Simulation-based impact assessment of autonomous vehicles at node- and link levels. Mentoring: Hashmatullah Sadid.Download description. (release date: 10.11.2022)

The focus is on the use of publicly available datasets for transport analytics and modeling. Due to the availability of diverse datasets, this group has a wide coverage of topics such as travel demand, traffic behavior, transport supply, traffic safety.

Key areas of investigation:

  • Demand calibration using opportunistic/big data
  • Extracting trip attributes from opportunistic sources
  • Extracting mobility information from Social Media data
  • Data fusion for transportation modelling using opportunistic data
  • Traffic behavior modeling and safety analysis using naturalistic driving data
  • Transport supply modeling using OSM and GTFS data

Current projects:

Members:

Open thesis topics:

  • (Porsche) Bachelor’s Thesis in Automatic Machine Learning for Time-Series Forecasting and Anomaly Detection. Mentoring: Nadin-Katrin Apel. Download description. (release date: 07.09.2022)

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