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Available study projects (BGU0PTUI)
Here are the available study projects for the M.Sc. Environmental Engineering program, structured by the following thematic areas:
| Topic Category | Description |
| Effects and Impacts of Mobility | mobility pricing, LCA, impact assessments, mobility coins |
| Experimental Studies | data collection with e.g. field tests, surveys, test intersection, simulator |
| Transportation Systems and Concept | Public & private transport, micro-mobility, shared and/or autonomous fleets, ropeways, UAM/AAM, car sharing, ride haling, pedestrians and bike traffic, ... |
| Mobility Data Modeling and Simulation | AI based, large scale data modeling; methodical approaches, traffic flow, macro- and microscopic simulations (Sumo, Visum, Vissim, Aimsun, ...) |
| Traffic Control and Management | traffic light control, managed lanes, lane free, Urban traffic control |
It is possible to hand in your own topic proposal - Dr.-Ing. Antonios Tsakarestos is pleased to receive them.
Currently, topics are being published partly here and partly on the ED portal. To view the latter, please go to the portal Angebot | ED-Portal and search for “Chair of Traffic Engineering”.
The topics are provided with one or more of the following icons, these icons illustrate the main applied method:
- Simulation: 🖥️
- Experiment: 🧪
- Concept: 💭
- Programming: 💻
- Survey: 📝
- Data analysis: 📈
Experimental studies
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Developing the bicycle simulator further.
Mentoring: Lindner.The Chair of Traffic Engineering and Control uses bicycle simulators in various research projects. These can be extended in their validity and functionality. Examples are "full-body motion tracking", the mapping of gradients or human-machine interfaces on the bicycle. In this work, one component is to be integrated on the bicycle simulator.
🧪💻 -
Escooter multi-body simulation model for submicroscopic traffic simulation.
Mentoring: Lindner.The thesis aims to further develop an e-scooter simulation model that models the riding physics of the scooter as well as the rider and their weight transfer.
🖥️🧪💻 -
Motorway scene development using RoadRunner.
Mentoring: Sekeran.The Chair of Traffic Engineering and Control is involved in conducting driving simulator related experiments. The goal of this project is to design several motorway scene using purely assets already available in Matlab Roadrunner. The scenes should reflect mainly the motorway/autobahn design in Germany. These scenes will then be exported into compatible traffic simulation file format using SUMO
🖥️💻
Transportation systems and concepts
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Data Mining and Estimation of Specific Indicators for On-Demand-Mobility-Systems.
Mentoring: El Eid, Tsakarestos.This project analyses real-world data from an on-demand mobility service in a rural area to derive key travel-demand indicators, helping improve the planning and operation of cost-efficient public transport. Using detailed passenger journey data, the study aims to replace planning assumptions commonly used in low-density areas with evidence-based data.
💻📈
Mobility Data Modeling and Simulation
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Analysis of Business Travel Data at TUM.
Mentoring: Waldorf, Alvarez.Based on anonymized flight and train travel data from TUM employees, this study project investigates potential opportunities for reducing CO₂ emissions from business travel. The project is conducted in collaboration with the TUM Sustainability Office and contributes to the development of the TUM Travel Policy. It involves advanced data analysis and the development of informative visualizations. Strong skills in statistics and programming (R and Python) are therefore essential.
💭💻📈 -
Review of Motion Planning Techniques for Urban Driving Scenarios.
Mentoring: Nexhipi.This project conducts a literature review of motion planning methods for urban driving. It explores techniques such as potential fields, graph search, sampling-based, and learning-based approaches, focusing on their suitability and performance in complex urban environments.
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SUMO-based Evaluation of Generated Bus Routes from GTFS data.
Mentoring: Ilic, Gritsch.Based on GTFS data, this study investigates the routing of buses between individual stops in SUMO. Since GTFS data typically does not include the exact bus routes, they must be reconstructed in a subsequent step. As a result, the calculated routes may deviate from the actual routes. Therefore, different categories of bus routes, such as urban, rural, and express routes, should be analyzed to assess the accuracy and identify the factors that influence the generated routes.
🖥️💭💻📈