CIE4811-18 Planning and Operations of Public Transport Systems

This is an introductory course to the planning and operations of public transport systems. Students will learn how public transport systems are planned, starting from the long-term strategic planning, going through tactical planning and finally discussing its real-time operations. Planning dilemmas and solution approaches to planning topics prevalent in passenger transport systems will be discussed and applied. Lectures are given by a team of teachers.

CIE5825 Advanced Public Transport Operations and Modelling

 This is a follow up course of CIE4811-18 (Design and control of public transport systems). It addressess more details and insights into public transport operations and modelling. The following topics will be covered: - Determinants of public transport mode and route choice - Principles, approaches and tools for transit assignment - Design principles and dilemmas for demand responsive public transport - Control measures (eg headway control, rescheduling, holding, etc) The main goal of the course is to evaluate and debate public transport operations and modelling, deepening the knowledge of students on efficient operations and control and modelling (both strategic and tactical)


Research Opportunities

MSc Thesis: Spatial and social patterns of passenger demand in Amsterdam

The master graduation project will involve the following activities, all in relation to the case of the public transport system in the Amsterdam region

  • Computing public transport accessibility indicators
  • Analysing origin-destination demand patterns
  • Segmenting the demand patterns in relation to key socio-demographic variables
  • Investigate the relation between service accessibility and socio-demographic characteristics
  • Consider implications for fare policy strategies

MSc Thesis: Unravelling Passenger Demand Patterns using Smart Card Data

Smart card data from the Stockholm region is available for this project. Passengers tap-in on buses or at station gates in the case of metro and commuter train. No tap-outs are available but they have been inferred in a previous project, making is possible to estimate OD matrices and travel patterns. The master graduation project will involve the following one or more of the following activities, all in relation to the case of the smart card data in the Stockholm region: Analysing origin-destination demand patterns including spatial clustering; Segmenting passenger demand based on travel patterns; Test the tap-out inference technique by calibrating it against counts; Investigate the impacts of a major network change – new commuter train stations and frequencies - on passenger travel patterns.

MSc Thesis: Impact of reliability and crowding on public transport users’ choices

The purpose of this project is to find the impact that reliability has on travellers’ public transport alternative choice. To do so, a choice experiment of stated preferences will be carried out. In this experiment, each alternative will have different values of speed, frequency, headway regularity and average occupation. This experiment has already been designed and is currently conducted in Santiago de Chile. The attribute values will have to be determined for the Dutch context (e.g. Amsterdam metro or Dutch Railways) and a series of choice model estimations will be performed to establish the trade off between variables and the value of reliability. Results will be compared to findings from Santiago de Chile where crowding is prevalent.

MSc Thesis: Assessment of On-Demand Transport

The masters student will work on the agent-based simulation platform(MATSim) and assess the impact of various operational aspects of demand responsive services (door-to-door/stop-to-stop, private/shared, paratransit, and car-sharing) on the mobility of users. The impact of these services will be analysed in terms of user perspective (generalised travel cost), operators perspective (operating cost, revenue), and system perspective. The model will be tested on the fully developed agent based simulation scenario of Amsterdam.

MSc Thesis: Analysis and mitigation of bunching effects on metro services

The strategic and tactical planning of public transport networks require advanced tools to model, analyse, quantify, optimize and evaluate current and alternative service designs. Challenges include the interactions between its infrastructure layer, service layer and passenger flows, as well as the importance of behavioural and dynamic phenomena. Projects in the domain of network analysis, service dynamics and service optimization can be performed at the rail group of Royal HaskoningDHV, an international engineering consultancy firm.

Smart Public Transport Lab

 TU Delft logo White

 Phone: +31 (0)6 15908644

 P.O. Box 5048
 2600 GA Delft

Visiting address:
 Building 23
Stevinweg 1
 2628 CN Delft