AH2302 Transport Modelling 7.5 credits

Trafikprognoser

Transport system planning implies identification of not only current transport problems, but also future transport problems. In addition, transport system planning also implies identification of what policy options best fulfil the transport planning objectives. In all cases, forecasting the effects of different policy options as well as forecasting the effects of doing nothing have to be done. In order to deliver proper decision support, such forecasts need to be produced by transport models based on scientific methods related to traffic behaviour. In this course, transport modelling based on theories of traffic behaviour in different aspects will be taught.

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

Content and learning outcomes

Course contents *

  • Discrete choice theory, the multinomial and the nested logit model
  • Stated Preference techniques
  • Network assignment theory for car and public transport
  • Car ownership modelling
  • Matrix balancing
  • Development and application of a simple forecasting system (project task)

The content of the course is presented in lectures and exercised in tutorials. The project task is undertaken as laboratory exercises, where the student will build a simple forecasting system, apply it to a transport policy issue and produce an individually written report of the work.

Intended learning outcomes *

After the course you should be able to:

  • Understand the theories behind transport demand and supply models
  • Apply these theories in a self-built simple forecasting system
  • Understand how hypothetical data can be used to enhance transport modelling
  • Understand how traffic matrices can be updated by the use of traffic counts and other data
  • Write a report of a simple transport planning study.

Course Disposition

No information inserted

Literature and preparations

Specific prerequisites *

  • A completed Bachelor’s degree in Engineering, Science, Economics or Planning including at least 60 credits in Mathematics, Physics, Statistics and/or Computer Science and

  • documented proficiency in English B or equiv (TOEFL, IELTS e g).

Recommended prerequisites

  • A completed Bachelor’s degree in Engineering, Science, Economics or Planning including at least 60 credits in Mathematics, Physics, Statistics and/or Computer Science and

  • documented proficiency in English B or equiv (TOEFL, IELTS e g).

Equipment

No information inserted

Literature

Ortuzar and Willumsen, Modelling Transporot, Third edition, John Wiley&sons Ltd, UKKoppelman & Bhat, a Self Instructing Course in Mode Choice Modeling

In addition, a selection of research articles.

Examination and completion

Grading scale *

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

Examination *

  • PROA - Project, 3.5 credits, Grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 4.0 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade *

TEN; 4,5 cr ) A-F
(PROJ; 3 cr ) A-F

The course grade will be determined by the grade of the written examination.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Knut Staffan Algers

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web AH2302

Offered by

ABE/Systems Analysis and Economics

Main field of study *

Built Environment

Education cycle *

Second cycle

Add-on studies

All courses in the Master’s Programme in Transport Systems are appropriate follow-up courses.

Contact

Daniel Jonsson, daniel.jonsson@abe.kth.se

Ethical approach *

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.