Studentische Arbeiten
Inhaltsverzeichnis
Themenspeicher studentischer Arbeiten
Aktuell vorbereitete Themenangebote für Studien-, Master- und Diplomarbeiten an der Professur für Betrieb von Bahnsystemen finden Sie in dem Themenspeicher. Für weiterführende Informationen wenden Sie sich an den aufgeführten Mitarbeiter.
Problem description
The concept of “flying cars” originated in the early 1900s and has recently re-emerged in public consciousness as urban air mobility (UAM). UAM involves the use of electric vertical take-off and landing (eVTOL) vehicles to provide air transportation services for passengers and goods. These services aim to reduce commuting times for long-distance travel in highly congested areas by utilizing eVTOLs.
The emergence of UAM could significantly and complexly impact existing railway passenger flows. On one hand, UAM could compete with long-distance railway routes due to its high speed and comfort. On the other hand, UAM’s accessibility is limited by infrastructure constraints. Integrating railway stations with UAM vertiports and using railway systems for access and egress to UAM services have been widely discussed. Understanding the interaction between UAM and railway systems can provide valuable insights for decision-makers regarding infrastructure planning, operational scheduling, and policy regulation.
This project aims to develop an integration model of UAM and railway systems to help decision-makers understand their interactions within an integrated system. The model includes supply and demand components:
- Supply Modeling: Develop a new network representation for the integrated system and analyze passenger costs within the network. The model is capable of modelling the service supply of UAM and railway separately and the connections between them.
- Demand Modeling: Propose a passenger assignment model for the integrated network that considers different passenger archetypes. The model takes the origin-destination matrix as input and assigns the passengers to various UAM and railway services.
More information: Thesis proposal - How does urban air mobility affect railway systems? An integration model and policy analysis
Contact: |
Prof. Dr. Nikola Bešinović |
Bing Liu |
Problem description
Urbanization and population growth have spurred the expansion of rail transit systems to meet the increasing demand for efficient and sustainable transportation. Currently, the urban rail transit system's organizational structure predominantly follows a single-line independent operation mode. This necessitates passengers to undertake multiple transfers between different lines to reach their destination, inevitably elongating their travel time. Additionally, the consequence could be even high train operation cost. In contrast, the cross-line operations, defining operations that cross over multiple lines, offers a more direct and efficient approach to meeting passenger demands. The aim of this research is to develop an optimized train timetabling approach for cross-line operations in urban rail transit systems. By strategically planning and implementing cross lines, we seek to minimize travel time for passengers, reduce operational costs, and enhance the overall efficiency of the urban rail transit network. Through a comprehensive analysis of factors such as demand patterns, network topology, and operational constraints, our goal is to propose a robust and adaptable timetabling framework that can be applied across diverse urban environments.
More information: Thesis proposal - Optimizing Urban Rail Transit Efficiency. A Comprehensive Timetabling Approach with Cross-line Services
Contact: |
Prof. Dr. Nikola Bešinović |
Yihui Wang |
Train delays and cancellations occur when disruptive events create an imbalance between system capacity and demand. For example, in the Netherlands, internal factors causing failures (e.g. infrastructure, vehicle) take up to 70% of all disruptions in the network. On average, about 14 of such disruptions occur every day. Some of these disruptions remain even unnoticed by passengers; however, others generate problems spreading all over the network causing many cancelled and heavily delayed trains leading to great dissatisfaction of passengers.
Therefore, the question is: how can we predict performance of the system during disruptions? The aim of this project is to study resilience curves (as depicted above) in railway networks and capture the magnitude and spatial impact of delays and cancellations. By using historical railway traffic data, we want to identify representative resilience curves and uncover the interaction between disruption and recovery. This will enable us to predict the future behavior of the system once a disruption occurs. Finally, such prediction system can help railway operators in better estimating and anticipating impacts of future disruptions and thus define best mitigation measures.
More Information: Thesis proposal - Modelling and predicting dynamics of disruption and recovery in railway networks
Contact: Dr. Nikola Bešinović
Power peaks are an undesirable phenomenon occurring in railway networks when multiple electric trains require large amount of power simultaneously, for instance, during acceleration. This phenomenon puts too much pressure on the power grid, which in the worst cases it can result into a blackout, and hence it represents a relevant concern for operators (Regueiro Sánchez, 2021). Furthermore, the high fluctuations in power consumption over time have a significant direct impact on operation costs, even though power peaks are generally very short in time (Albrecht, 2014). Reducing energy consumption is anyways a top priority in sustainability policies in many countries.
One solution for this is fine-tuning timetables to minimize power peaks. Nevertheless, the benefits of adjusted timetables can be lost in situations with train delays in the network. In this work, the goal is to develop a new approach to mitigate anticipated power peaks in real-time by means of train control measures, i.e. traction power limitation and departure time shift, combined with real-time rescheduling.
The goal of this project is to develop a pure optimization approach for the problem of mitigating power peaks in railway networks using train control measures in real-time, possibly including train delays. This optimization approach will be made in the form of a mixed-integer linear program. We consider power limitation and departure time shift as possible train control measures. The problem minimizes the total induced delay while capturing all relevant constraints that model feasible railway traffic (block sections, single and double track sections, technical headways between trains, train conflicts, etc.) (Pachl, 2014), for which we need to use detailed infrastructure models (Radtke, 2014). The approach will be tested in a case study consisting of the line between Giubiasco and Locarno (Canton Ticino) of the Swiss Federal Railways (SBB).
Further information: Thesis proposal - Optimization Approaches for Real-time Mitigation of Power Peaks in Railway Networks using Train Control Measures
Contact: Dr. Nikola Bešinović
- in Bearbeitung -
Zur Gestaltung und Bemessung von Gleisgruppen können unterschiedliche eisenbahnbetriebswissenschaftliche Ansätze und Verfahren genutzt werden. Bei der DB Netz AG ist aktuell das Verfahren LUKS Gleise etabliert, welches auf der Bedienungstheorie basiert. Aktuell wird ein neuartiges Verfahren entwickelt, welches auf Grundlage der mathematischen Optimierung arbeitet. Die beiden Verfahren sollen hinsichtlich ihrer Anwendbarkeit, der Abbildungsgenauigkeit und der erzielbaren Ergebnisse anhand beispielhafter Anwendungsfälle verglichen werden. Aus diesen Untersuchungen sind zudem geeignete Rückschlüsse für die weitere Entwicklung und Anwendung des neuartigen Verfahrens abzuleiten.
Kontakt: Dr.-Ing. Jan Eisold Tel: 0351 463-42390
Im Schienengüterverkehr nimmt der Einzelwagenverkehr (EV) weiterhin eine signifikante Position ein. Die Steuerung der Wagenströme im Netz erfolgt durch die Einzelwagenverkehrssteuerung (EV-Steuerung). Das primäre Ziel besteht darin, sowohl eine Überlastung von Strecken als auch von Zugbildungsanlagen (ZBA) zu verhindern. Eine Entlastung der Steuerung könnte durch die Ausgestaltung eines robusten Netzwerks erfolgen. Dazu sollen im Rahmen dieser Abschlussarbeit verschiedene Maßnahmen zu einer robusteren Ausgestaltung untersucht werden. Ziel ist es die Abhängigkeit zwischen Leistungsfähigkeit und Robustheit (resilience) zu bestimmen, um somit die Auswirkungen auf die Leistungsfähigkeit quantifizieren zu können.
Kontakt: Daniel Haalboom M.Sc.
Eignung der Themen für S = Studienarbeit, M = Masterarbeit, D = Diplomarbeit
Eine Bearbeitung der oben genannten Themen kann in der Regel kurzfristig begonnen werden.
Hinweise und Vorlagen
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Archiv studentischer Arbeiten
Ein Teil der an der Professur für Betrieb von Bahnsystemen (vorher: Professur für Bahnverkehr, öffentlicher Stadt- und Regionalverkehr) geschriebenen Arbeiten sind auf den folgenden Seiten aufgeführt: