Course content

The course is given in the spring provided enough students sign up. Therefore, if you wish to take the course, please email Trude Tørset - trude.torset@ntnu.no - before January 15th the same semester. If enough show interest, it will be taught and others might sign up until the regular signup deadline.

The course has the following content: - Review of the basics concepts of discrete choice model - Description of different models (MNL, NL, ML) - VOT derivation and microeconomic considerations - Practical exercises on Biogeme/Python Biogeme - Review of the basic concepts of route assignment models (car / PT) - Description of different models (user classes, algorithms, stability and equilibrium)

Learning outcome

- Knowledge about various choice models, input data for choice models, estimation techniques - Knowledge about requirements for equilibrium, algorithms to achieve route distribution for cars and public transport passenger - Use the program Biogene/Python Biogene to estimate simple discrete choice models - Analyse and estimate choice models - Choose between and use route choice models - Understand and develop discrete choice models to explain transport moving patterns - Understand the route assignment algorithms for cars, public transport and active modes.

Learning methods and activities

Recorded videos from 2021, seminar and self studies and writing a scientific article.

Specific conditions

Recommended previous knowledge

A masters degree in a related topic

Required previous knowledge

Master degree in fields related to transport analysis. TBA4291, BA6009 or MSc degree with qualifications for PhD studies at NTNU. Note that if you wish to follow the course the semester it runs, but are not affiliated with the PhD programme in Engineering, please contact phd@ibm.ntnu.no.

Course materials

Reports, papers, etc. to be announced at the start of the course.