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

Course language: English


Time: Your online tutor is based in London so the course will start at 9am GMT and end at 5pm GMT.


Breaks: There are mid-morning and mid-afternoon breaks plus an hour for lunch. Total teaching time is 7.5 hours.


Platform: We use Zoom or Google Meet 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.

These 5 days of training cover all the skills you’ll need for using all editions of Aimsun Next. Choose the course or courses that match your edition, using the table below to guide you.

Morning session: 09:15–13:15 (including a 15-min break)

Afternoon session: 14:00–17:30 (including a 15-min break)

May 4-6

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

Managing scenarios

Dynamic scenarios, experiments and replications

Attribute overrides and geometry configurations

Day 2

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 3

Microscopic network loading

Microscopic vehicle behavior

Calibration of a microscopic model

Traffic management

Traffic management actions

Modeling incidents and mitigation strategies

Modeling turn restrictions, reversible lanes, and other scheduled events

May 7

This course zooms out from microscopic simulation to look at larger scale modeling. You’ll learn about the event-based mesoscopic model and how to combine it with a more detailed time-sliced microsimulator.

Then you’ll get to experiment with static macroscopic modelling, which is often used as a preliminary step to dynamic modeling to extract the demand of a subarea from a regional model, to adjust and time-slice it, and to get an initial set of paths to warm-start dynamic assignment.

Day 1

Mesoscopic network loading

Mesoscopic vehicle behavior

Calibration of a mesoscopic model

Hybrid microscopic-mesoscopic simulation

Macroscopic modeling

Static traffic assignment

Traversal demand calculation

Demand adjustment

May 8

The Travel Demand Modeling course covers the traditional four-step modeling process of trip generation, trip distribution, mode choice, and trip assignment.

You should finish this course with an understanding of the role of travel forecasting within transportation planning and of the principles of each of the four modeling steps. You’ll be able to demonstrate how input data is used, and interpret the outputs from each step.

Day 1

Travel Demand Modeling – the four-step model

Trip generation

Trip distribution

Modal split

Static public transport assignment

To reserve your place, please contact info@aimsun.com as soon as possible.

Maximum class sizes apply.