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 aims to define requirements for dynamic stops for on-demand transport services from both a scientific and practical perspective. This includes a review of scientific literature and legal texts as well as interviews with relevant stakeholders. The findings will then be mapped using GIS for a selected service area in Munich. The goal is to compare theory and practice and develop clear recommendations for the planning of dynamic stop locations and policymakers.

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.

Cyclist models are based on model parameters that are compiled from reality. However, these are dependent on traffic scenarios and the cyclists themselves. In this work, previously defined parameters (e.g. speed or interaction radius) are to be searched for and compared in the literature.

People with physical or mental impairments are often disadvantaged while using mobility systems such as public transport. When it comes to automated on-demand bus services, the situation might get worse since no driver is aboard who could assist. This thesis should analyze the user acceptance of mobility impaired user groups of current and future public transport systems.

This thesis provides an overview of methods for estimating bicycle travel times. It analyses factors influencing cyclists’ travel time and compares existing approaches. Additionally, a GPS dataset may be used to identify patterns in cyclists’ travel times, for example in relation to sociodemographic data or trip purpose.

In simulation studies, 10-15 repetitions are often considered a sufficiently large sample size. Statistically, however, depending on the desired confidence interval and significance level, an individual statement can be made for each KPI. For this reason, the practice of assuming a general sample size should be questioned, based on different VISSIM networks and traffic signal controls of varying complexity. Prerequisite: Excellent proficiency in German (external partner: gevas Ingenieure).

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.