Available Study Projects

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.

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.

Based on anonymized flight and train travel data from TUM employees, this study project investigates potential opportunities for reducing CO₂ emissions from business travel. The project is conducted in collaboration with the TUM Sustainability Office and contributes to the development of the TUM Travel Policy. It involves advanced data analysis and the development of informative visualizations. Strong skills in statistics and programming (R and Python) are therefore essential.

A self-developed simulation framework for the investigation and evaluation of the cooperative perception of automated vehicles (https://github.com/TUM-VT/FTO-Sim) is to be expanded to include further static objects that restrict the view of automated vehicles. The geocoordinates of these objects are to be obtained from OpenStreetMap or other public geo-databases.

This project conducts a literature review of motion planning methods for urban driving. It explores techniques such as potential fields, graph search, sampling-based, and learning-based approaches, focusing on their suitability and performance in complex urban environments.

We have data trip data from an on-demand service for the area hof with information about the trip start and end times and coordinates as well as vehicle occupancy. The routes for each trip are presented separately and are not assigned to any vehicle. The goal is generating a route sequence from the separate trips while utilizing the minimum number of individual on-demand vehicles. The occupancy of the vehicles during the day should be analyzed.

We have trip data from an on-demand service for the area hof with predefined stops. The goal is to assign travel purposes for the on-demand trips, classifying the trips into origin-destination trips and multimodal trips. Origin-destination trips bring the passenger directly from the origin to the destination. Multimodal trips are continued with line-based public transportation services like trains or buses. For the classification the on-demand service stops and trip-times are compared to GTFS-Data.

Many major intersections in Barcelona are shaped like octagons, where pedestrian crossings are located on the side streets and not directly at the intersection. This distinctive intersection layout allows turning vehicles to queue in the space between the intersection and the pedestrian crossing. Aside from opening an uninterrupted cycling lane, this layout has safety advantages for pedestrians. The goal of the project is to evaluate and analyze traffic operations with this intersection type.