Topic outline

  • Welcome to the Transport Modelling course! 

    The course belongs to the elective courses of the Master's Program in Spatial Planning and Transportation Engineering. 

    The course is intended for Master's and PhD students and it is offered in English.

    The course is aimed at learning the objectives and roles of models in transportation systems analysis. Moreover, it includes components of Innovation and Entrepreneurship supported by the Aalto Ventures Programme (

    Learning outcomes

    After successful completion of the course, a student is able to:

    • Justify data collection and management methods and technology
    • Apply trip-based, discrete-choice and activity-based models for transport systems
    • Apply network theory to transport systems
    • Explain differences and similarities between different models used for transport systems
    • Follow scientific literature in transport systems modelling

    Course content

    The course contents include:

    1. Introduction to Transport Modelling
    2. Data management 
    3. Trip generation
    4. Trip distribution
    5. Modal split
    6. Traffic assignment 
    7. User equilibrium vs System optimal
    8. Activity-based modelling
    9. Integrated land-use and transport models


    News regarding the course will be posted here in myCourses, within the Announcements Forum. Please, make sure you receive notifications when new messages are posted.

    Due to the recent events related to the pandemics, most of the sessions of this course will take place online. If some activity could happen in-person, this will be notified in the Announcements Forum. Although this is not a requirement, you are more than welcome to share your video when talking and participating to activities and discussions. This will be surely appreciated by your colleagues as it helps improving human connections in these challenging times. Note also that there is an assignment about this in the Assignments box.

  • Not available unless: You belong to L01 (SISU)

    This is the schedule of the course.

    Date Time Topic Link
    Monday, January 10 14:00 - 16:00
    Course Introduction
    Thursday, January 13 12:00 - 14:00
    Tool installation support
    Friday, January 14 10:00 - 12:00
    I&E project introduction 
    Monday, January 17 14:00 - 16:00
    Core topic - Data & networks + guest lecture HSL
    Thursday, January 20 12:00 - 14:00
    Project workshop
    Friday, January 21 10:00 - 12:00
    Modelling tools
    Monday, January 24 14:00 - 16:00
    Core topic - Trip generation & Trip distribution
    Thursday, January 27 12:00 - 14:00
    Modelling tools
    Friday, January 28 10:00 - 12:00
    Project workshop + guest lecture Nobina
    Monday, January 31 14:00 - 16:00
    Core topic - Modal split / discrete choice models + guest lecture Shaya Vosough
    Thursday, February 3 12:00 - 14:00
    Project workshop
    Friday, February 4 10:00 - 12:00
    Modelling tools
    Monday, February 7 14:00 - 16:00
    Core topic - Traffic assignment + guest lecture Haris Sipetas
    Thursday, February 10 12:00 - 14:00
    Modelling tools + guest lecture HSL
    Friday, February 11 10:00 - 12:00
    Project workshop
    Monday, February 14 14:00 - 16:00
    Core topic - ABM & LUTI models + guest lecture Flou
    Thursday, February 17 12:00 - 14:00
    Modelling tools
    Friday, February 18 10:00 - 12:00
    Project workshop - Reharsal
    Friday, February 25 10:00 - 12:00
    Final presentations

    Please note that the topics for each lecture are not final and changes may occur during the course.

    The sessions are all planned as virtual sessions, delivered via Zoom. They will include various interactive activities, thus presence is highly recommended.

  • Not available unless: You belong to L01 (SISU)
  • Not available unless: You belong to L01 (SISU)
  • Not available unless: You belong to L01 (SISU)

    I would really appreciate your support in improving the quality of this course.

    I will appreciate constructive feedback.

    Grade 5 (weighted as a +5% in the final) is given if you just submit ALL your feedbacks.

    To anonymise the feedback, your submissions will be at first only associated with nicknames. At the end of the course, I will share a document to link nicknames to your student numbers.  

    There will be 4 feedback assignments during this course:

    • I&E competencies before the course
    • Mid-course feedback survey
    • I&E competencies after the course
    • Final feedback survey (delivered via Aalto "official" channel)

  • Not available unless: You belong to L01 (SISU)
  • Not available unless: Your User account contains (use: contains