Available Bachelors' Theses

In medical emergencies every minute counts – especially in cardiac arrest, where Automated External Defibrillators (AEDs) can greatly improve survival. This bachelor thesis analyzes the spatial and temporal accessibility of AEDs in the Greater Munich area. The research question is: “How much time does it take on average in different regions to reach a defibrillator?” Supply-side data from OpenStreetMap, the Munich subway system, and other AED location sources will provide a spatial picture of availability. Accessibility will be assessed by car and on foot – as walking may be faster than driving in traffic. On the demand side, either existing data on cardiac arrests will be used, or, if unavailable, estimates will be derived from population density, age structure, and statistical probabilities. The thesis links geoinformatics and transport planning with health research to evaluate emergency coverage in a metropolitan region.

With the continuing increase in the share of micromobility in the modal split, the requirements for urban infrastructure are also changing. In addition to normal city bikes, bike lanes must also safely and comfortably accommodate other types of vehicles, such as racing bikes, cargo bikes, and rickshaws. In addition to the type of bicycle, riding behavior is also determined by the purpose of the trip—i.e., whether it is a commute to work, errands, leisure travel, etc. There are a number of open questions surrounding this topic that could be addressed in a bachelor's thesis. The exact questions and details will be discussed in a personal meeting if you are interested.

Induction loops provide information about traffic flow and occupancy time in urban areas, and in the case of double induction loops, also about vehicle type and speed. This information is available in Munich. However, it is known that the data collected is prone to errors. By collecting trajectory data using a drone at several locations where induction loops are also installed, the error in this induction loop data is to be estimated.

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).

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.