Available Bachelors' Theses

With the help of a literature research, an overview of the vehicle concepts for air cabs presented so far and the possible flight missions is to be made. Which use cases are targeted by the manufacturers and which flight missions would be relevant from a transport perspective. In addition to the classification of vehicle types and thus feasible flight missions, the aim of the work is to research and assess market maturity. In addition to literature research, background discussions can also be held with experts.

The thesis should evaluate and improve a draft concept of evaluation for Urban Air Mobility (UAM) systems. These include a review of proposed KPIs and indicators (based on DIN EN 13816). Next, the improved concept of evaluation should be applied to evaluate a simulated UAM service (the model will be provided). Recommendations for the industry and traffic planners should be derived.

Adele's concerts in Munich in summer 2024 attracted around 750,000 visitors. Some of them traveled on flights lasting several hours. This is just one example of different strategies at concert events, either the artists come to the audience or the audience comes to the artist. As part of the Bachelor's thesis, these strategies are to be analyzed and evaluated in terms of their mobility-related effects with a focus on greenhouse gas emissions. From this, indications for a sustainable event strategy and accompanying measures to reduce the effects are to be derived.

What potential does the use of data from connected and automated vehicles (ego-perspective & surrounding traffic) offer in terms of safety and efficiency in urban traffic? Furthermore, the question arises how these potentials can be evaluated simulatively. In addition to a literature research, a concept for the simulative evaluation of the potentials of data utilization of connected and automated vehicles in urban traffic will be developed within the scope of this thesis.

In this thesis, 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.

This bachelor thesis focuses on mode choice modeling and examines current statistical estimation methods. The focus is on the state-of-the-art approaches, the data used, and estimation techniques. Additionally, methods from literature that incorporate more than traditional survey data are analyzed, considering new data sources like mobile phone data or app tracking. Another key aspect is the integration of new mobility options, such as e-scooters, bikesharing, and carsharing, into mode choice models to better understand their impact on travel behavior.

In this thesis, the student examines ways of modeling destination choice of people. Destination choice models are a type of trip distribution or spatial interaction model which are formulated as discrete choice models, typically logit models. They can be thought of as a generalization of the traditional and widely used gravity model. The thesis will study different approaches and use a small test data set to conduct a destination choice model.

The focus of this work is a literature review of the characteristics of traffic with low lane discipline ("lane-less traffic") and a familiarization with one or more simulation programs for microscopic traffic flow simulation. Finally, the results and experiences must be presented and discussed in a structured way.

Based on a literature review, it is discussed whether artificial intelligence methods are suitable for calibrating a microscopic driving behaviour model. A conventional car following and lane change model can be used as a basis. Alternatively, a lane-free driving behaviour model for highly connected and automated driving can be used.

In this thesis, the student will conduct a comprehensive literature review and lane-free traffic control strategies. The review includes analysing the concept of each lane-free traffic strategy and to analyse the differences between these strategies and how each of them impacts traffic efficiency.