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AH2304 Advanced Transport Modelling 7.5 credits

Advanced Transport Modelling

Transport models are used in many contexts to analyse policies and their effects, such as effects on emissions, cost and benefit, redistribution or effects on accidents. Policy examples include new roads, intelligent transport systems, new public transportation, increased or decreased cost for private car or public transportation, and flexible hours for shopping, working or schools. After the course, the student should be able to program a transport demand model and understand its limitations, and use a model to analyse a current policy measure, such as congestion charging.

  • Educational level

    Second cycle

  • Academic level (A-D)

    D

  • Subject area

  • Grade scale

    A, B, C, D, E, FX, F

At present this course is not scheduled to be offered.

Learning outcomes

After completing the course, the student should be able to

  • use the theory for discrete choices and stochastic utility maximization to formulate models related to transport demand, in particular travel frequencies, destination choice and mode choice
  • program a transport forecasting model for analysing a real and current policy measure, such as congestion charges
  • account for models and theory for route choice
  • explain network equilibrium models and equivalent optimization formulations. Account for pros and cons with the concept of network equilibrium
  • use software for network equilibrium on a real world application to analyse traffic flows. 
  • use decision support systems to analyse realistic planning problems
  • search relevant literature for a current application within transport demand modelling

Course main content

  • Theory for discrete choices, stochastic utility maximization, econometric estimation, entropy methods and gravity model.
  • Theory and algorithms for network equilibrium
  • Cost benefit valuation and effect evaluations: accidents, emissions and value of time.
  • Literature seminar

First, the theory is presented within lectures, which are the followed up by computer assignments, normally four.

Finally, in a literature study assignment, the student will search information to find a solution to a given problem. The suggested solution will be presented as a written report and at a seminar.

Eligibility

  • A completed, documented Bachelor’s degree in Engineering, Science, Economics or Planning including at least 60 credits in Mathematics, Physics, Statistics and/or Computer Science (the course Transport Modelling (AH2302) is recommended) and

  • documented proficiency in English B or equivalent.

Prerequisites

  • A completed, documented Bachelor’s degree in Engineering, Science, Economics or Planning including at least 60 credits in Mathematics, Physics, Statistics and/or Computer Science (the course Transport Modelling (AH2302) is recommended) and

  • documented proficiency in English B or equivalent.

Literature

Hensher, D.A., and Button, K.J., 2000, Handbook of Transport Modelling, Pergamon Press. In particular chapters 1, 3, 5, 9, 10,13, 17, and 19.

Train, K., 2003, * Discrete choice methods with simulation*, Cambridge University Press.

Examination

  • ANN2 - Assignment, 4.5 credits, grade scale: A, B, C, D, E, FX, F
  • TEN2 - Examination, 3.0 credits, grade scale: P, F

Requirements for final grade

Written exam (4,5 cr) and assignments (3 cr).

Offered by

ABE/Transport and Location Analysis

Examiner

Joel Franklin <joelfr@kth.se>

Add-on studies

Mathematical economics, Probability theory, Optimization modelling. Applications within the programs for Urban Planning and Traffic Engineering

Version

Course plan valid from: Spring 10.
Examination information valid from: Spring 12.