Available Masters' Theses

Perceived unsafety is considered one of the major barriers to a modal shift toward cycling, despite strong efforts by many city planners to promote bicycle use. In particular, complex interactions with motor vehicles at intersections can leave a strongly negative impression on cyclists and reduce their sense of safety. The aim of this study is to propose a model for assessing perceived safety while explicitly considering the effects of interactions with cars. The existing link-level perceived safety model will be extended to the area level, with a focus on intersection-centered environments and the incorporation of traffic volume data. The model results will then be compared with findings from real-world cycling perception experiments.

In the bicycle simulator, the choice of the ridden path and the speed can be decoupled. In this study, we investigate the ridden path and focal points in driving simulator studies in order to use them for microscopic modeling of cyclists.

This thesis focuses on recognizing the intentions of cyclists at bus stops. The analysis relies on camera data, which is already available from a previous bike simulator study. The goal is to find out the importance or relation between body gestures or movements to the final maneuver decision, utilizing both conventional algorithms and deep learning approaches.

This thesis focuses on analyzing the cyclists behavior at bus stops. The analysis relies on both trajectory and the camera data of the cyclitsts, which is already available from a previous bike simulator study. The goal is to find out the correlation between trajectory and body gestures and body movements of cyclists.

The main goal of this thesis is to design and conduct a test filed study involving the interaction between VRU and shuttle bus. Data is collected by this study, followed by the development and evaluation of a system that uses both camera data from the vehicle perspective and LiDAR data from an infrastructure perspective to detect, track, and predict the intentions of VRU

The thesis aims to further develop an e-scooter simulation model that models the riding physics of the scooter as well as the rider and their weight transfer.

The coordinated service of customer requests by mobility-on-demand (MoD) providers in combination with line-based public transport (PT) systems represents an interesting research question in the further development of MoD services. Urban ropeways constitute a special form of public transport due to their characteristic operational properties. The objective of this thesis is to develop and simulate a coordinated service strategy for handling customer requests using mobility-on-demand fleets and urban ropeway systems.

The coordinated service of customer requests by mobility-on-demand (MoD) providers and line-based public transport (PT) systems, integrated within a unified Mobility-as-a-Service (MaaS) platform, represents a relevant research topic for the further development of integrated mobility services. As delays frequently occur in both MoD and PT operations, the MaaS platform serves as a central orchestrator to mitigate service disruptions. This thesis aims to model and analyze the coordination mechanisms managed by the MaaS platform, specifically focusing on the interaction between MoD and PT under delayed conditions through microscopic traffic simulation.

In this thesis motion planners, mainly used in the domain of automated driving, should be applied to cyclists and validated using real-world data

This thesis explores how users respond to changes in traffic system dynamics using Elastic Dynamic Traffic Assignment. It investigates the potential for improving system resilience through demand-oriented policies. By analysing user sensitivity and demand shifts under various scenarios.

This thesis investigates urban traffic flow dynamics during large-scale evacuations, aiming to design effective evacuation plans that minimise congestion, reduce evacuation time, and improve overall system performance under emergency conditions.

This thesis aims to explore methods for dynamically assessing link criticality based on network demand and topology. It further investigates the optimal sequence of link repairs to minimise total recovery time and enhance system throughput following a disruptive event.

Topic is only available in German. Please look at the German description.