7-10 February 2017, Aimsun foundation course + travel demand modeling, Montreal

Paolo Rinelli will be the tutor for this four-day Aimsun foundation course, to be held in central Montreal, Tuesday Febraury 7th – Friday February 10th.

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.

Course Contents

Morning session: 09:00 – 12:30 (including a 15-min break)
Afternoon session: 13:30 – 18:00 (including a 15-min break)

Editing a model (5 h)

• Geometry, traffic demand, signals, public transport

Managing scenarios (1 h)

• Dynamic scenarios, experiments and replications
• Revisions

Outputs (1 h 30 min)

• Time series, thematic maps

Outputs (continued) (30 min)

• Scenario comparison

Traffic management (4 h)

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

Dynamic traffic assignment (3 h)

• Dynamic traffic assignment framework
• Cost functions
• Stochastic route choice algorithm and parameters
• Dynamic user equilibrium algorithm and parameters
• Practical applications

Microscopic network loading (3 h 45 min)

• Microscopic vehicle behaviour
• Calibration of a microscopic model

Mesoscopic and hybrid network loading (3 h 45 min)

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

*note that you can attend this module independently of the foundation course if you wish. See registration form below.

Travel demand modelling (4 h)

• Generation
• Distribution and modal split

Macroscopic modelling (3 h 30 min)

<li<Static assignment
• 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 info@aimsun.com as soon as possible as places are limited.