(No documents in this view)
Available Study Projects
Here are the available study project topics structured by the following thematic ares of the Chair of Traffic Engineering and Control:
| 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.
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
-
Developing the bicycle simulator further.
Mentoring: Lindner, Pechinger.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.
🧪💻
Mobility Data Modeling and Simulation
-
Testbed for traffic simulation.
Mentoring: Lindner.In this project, three goals are pursued: (1) to duplicate data and models from an existing (online) platform for (specified) offline studies, (2) to implement procedures to incorporate real-time data into testbed(s), and (3) to investigate data aggregation with respect to traffic control.
🖥️💻 -
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.
💭💻📈 -
Integration of Open Street Map Data into a Simulation Framwork for Cooperative Perception of Automated Vehicles.
Mentoring: Ilic.A self-developed simulation framework for the investigation and evaluation of the cooperative perception of automated vehicles (https://github.com/TUM-VT/FTO-Sim) is to be expanded to include further static objects that restrict the view of automated vehicles. The geocoordinates of these objects are to be obtained from OpenStreetMap or other public geo-databases.
🖥️💭💻 -
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.
Traffic Control and Management
-
Evaluating and analyzing traffic conditions on Barcelona's octagon-shaped intersections.
Mentoring: Malcolm, El Eid.Many major intersections in Barcelona are shaped like octagons, where pedestrian crossings are located on the side streets and not directly at the intersection. This distinctive intersection layout allows turning vehicles to queue in the space between the intersection and the pedestrian crossing. Aside from opening an uninterrupted cycling lane, this layout has safety advantages for pedestrians. The goal of the project is to evaluate and analyze traffic operations with this intersection type.
🖥️💭