Due to Coronavirus restrictions, this is a remote training course that you can take from home via video conferencing.

Price: 1,000.00 EUR (Excl. Tax)

These 5 days of training cover the core skills you’ll need for using all editions of Aimsun Next.


Course language: English


Time: The tutor for this online course is based in Barcelona, so the course will start at 9:00h and end at 13.30h (Central European Time).


Platform: We use Microsoft Teams for most of our online classes. If you have a software or security issue, please let us know and we will accommodate your needs.


How to install our software: Once you have signed up, we will send you two-step installation instructions for a temporary training license of Aimsun Next software. Please start this process 48 hours before the course starts to allow time for trouble shooting.

June 7-11

Our most popular training course, this is a thorough introduction to the fundamentals of building a model in Aimsun Next, with a focus on simulation at the microscopic level.

This course will take you all the way through the workflow of a typical project, from editing to traffic management, scenarios, outputs and calibration. There are hands-on exercises every step of the way to make sure you have mastered the basic concepts and you should finish this course ready to start experimenting with Aimsun Next software.

Day 1

Editing exercises

Geometry

Signal plans

Public transport

Traffic demand

Day 2

Managing scenarios

Dynamic scenarios, experiments and replications

Attribute overrides and geometry configurations

Day 3

Outputs

Output calculation

Time series, thematic maps

Scenario comparison

Dynamic traffic assignment

Cost functions

Stochastic route choice algorithm and parameters

Dynamic user equilibrium algorithm and parameters

Combining paths

Day 4

Dynamic traffic assignment

Analysing Path Assignment Outputs

Microscopic network loading

Microscopic vehicle behavior

Day 5

Microscopic network loading

Calibration of a microscopic model

Traffic management

Traffic management actions

Modeling incidents and mitigation strategies

Modeling turn restrictions, reversible lanes, and other scheduled events

Maximum class sizes apply.