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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
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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.
🧪💻
Transportation systems and concepts
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Analysis of GTFS Data from Munich: Coordination at key interchange stations.
Mentoring: Dandl.In this project, GTFS data from Munich should be analyzed to check the coordination of different lines in certain transfer stations
💻📈
Mobility Data Modeling and Simulation
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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.
🖥️💻 -
Image-based clustering of travellers according to their mobility patterns using a large-scale tracking dataset.
Mentoring: Alvarez, Dahmen.In transport research, population is often segmented into groups with homogeneous mobility behavior / characteristics. The idea of visualizing the activity behavior of each individual and then clustering these images according to "traditional" unsupervised ML methods has been explored for longitudinal panel data (DOI: 10.1016/j.trip.2020.100264). In this thesis, such an approach will be adapted for a large-scale dataset of mobility tracking data collected in the Mobilität.Leben project.
💻📈 -
Analysis of unattractive OD relations with Mobilität.Leben data.
Mentoring: Dandl, Dahmen.In this project, extended Mobilität.Leben data should be analyzed to identify origin-destination relations in and around Munich, which have low public transport mode share
💻📈 -
Analysis of a hypothetical restructuring of US professional sport league (NBA).
Mentoring: Dandl.Currently, most professionel sport leagues in the US have two conferences and teams within the same conferences play more often against each other. It should be analyzed whether more conferences would lead to a reduction in the flight distances and CO2 emissions, Moreover, the statistics between the conferences should be computed.
🖥️💭💻📈