Single-Course English 5 ECTS

Transport System Analysis: Performance and Operations

Overall Course Objectives

Understanding how a transport system operates is at the core of this course. Students will gain knowledge on the key mathematical methods used in the representation of people’s and vehicle’s movement, the network and service performance and key strategies for control and improved efficiency of mobility systems. This course combines key methodological knowledge gains with examples applications from different dimensions of the mobility paradigm.

Learning Objectives

  • Describe, apply and contrast different measures typically used to evaluate the performance of transport systems including space/time representations of flow, speeds, travel times and other indicators
  • Explain and assess possible representations for different modes of transport and combinations hereof
  • Describe, discuss and judge on the disaggregation levels used for different modelling and representation purposes
  • Analyse and evaluate different methods for modelling queues in networks
  • Implement, apply and analyse the strengths and weaknesses of different modelling and solution methods to solve network problems
  • Describe, implement and test probabilistic and simulation methods for generic transport problems
  • Formulate, model and solve basic control and optimization methods for standard transport problems
  • Identify and relate fundamental techniques applicable to the modelling of different modes of transport
  • Write technical notes and use traditional mathematical software for the analysis of transport systems and network performance

Course Content

Various elements will be addressed, including the basics relating to the performance of transport networks, traffic flow theory and modelling, network representation across different modes of transport, modelling approaches for different problems, queue representation, stochastic simulation in network models, network equilibrium analysis and traffic assignment and control and optimization of transport services. In addition to introducing the underlying fundamentals, the course will include numerous case-studies from different transportation modes and settings. The classes are taught in an interactive manner, with theoretical parts combined with hands-on exercises using an interactive notebook environment. Knowledge of coding is not a must, although some exercises will be presented in Python.

Recommended prerequisites

Basic statistics/probability theory.; Basic calculus (02323 / 02402 / 02403 or similar courses; 01901/01920 or similar courses)

Teaching Method

Lectures, recitations and self-study

See course in the course database.





13 weeks




DTU Lyngby Campus

Course code 42187
Course type Candidate
Semester start Week 5
Semester end Week 19
Days Tues 13-17

7.500,00 DKK