Training course: Aimsun Next Expert A-Z

26-29 March 2018, Toronto

This four-day Aimsun training course will be held in English, from Monday March 26th to Thursday March 29th.

The course is aimed at new users and users who wish to refresh or extend their skills in microscopic and mesoscopic simulations. The last day of the course is dedicated solely to the macroscopic functionalities and travel demand modeling in Aimsun and can be booked separately.


WeWork Richmond Street West
240 Richmond Street W
Toronto ON M5V 1V6

Course Contents

Morning session: 09:15 – 13:00 (including a 15-min break)
Afternoon session: 13:45 – 18:00 (including a 15-min break)


Editing a model

  • Geometry, traffic demand, signals, public transport

Managing scenarios

  • Dynamic scenarios, experiments and replications
  • Revisions



  • Output calculation
  • Time series, thematic maps
  • Scenario comparison

Traffic management

  • Traffic management actions
  • Modeling incidents and mitigation strategies
  • Modeling turn restrictions, reversible lanes, and other scheduled events

Dynamic traffic assignment

  • Dynamic traffic assignment framework
  • Cost functions


Dynamic traffic assignment (continued)

  • Stochastic route choice algorithm and parameters
  • Dynamic user equilibrium algorithm and parameters
  • Practical applications

Microscopic network loading

  • Microscopic vehicle behavior
  • Calibration of a microscopic model

Mesoscopic and hybrid network loading

  • Mesoscopic vehicle behavior
  • Calibration of a mesoscopic model
  • Guidelines for hybrid microscopic-mesoscopic simulation


Travel demand modeling

  • Generation
  • Distribution and modal split

Macroscopic modeling

  • Traversal demand calculation
  • Demand adjustment

Prices and registration

If you would like to attend this Aimsun training session, then please fill out the registration form and send it to as soon as possible as places are limited.

Aimsun training courses are in small groups with plenty of hands-on exercises

Aimsun training courses are in small groups with plenty of hands-on exercises

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