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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.
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.
Editing exercises
Geometry
Signal plans
Public transport
Traffic demand
Managing scenarios
Dynamic scenarios, experiments and replications
Attribute overrides and geometry configurations
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
Dynamic traffic assignment
Analysing Path Assignment Outputs
Microscopic network loading
Microscopic vehicle behavior
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
To reserve your place, please write to info@aimsun.com as soon as possible.
Maximum class sizes apply.
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