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: 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.

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.

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