Training

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.

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.

The Strategic 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.

This training course guides you through the process of simulating pedestrians in an Aimsun Next microscopic simulation. You’ll learn the basics of the social force model, how to put together all the required pieces to run a pedestrian simulation and how to manage pedestrian flows interacting with other road users in a truly multimodal way.

Next, you’ll master handling conflicts between pedestrians and motorized vehicles at signalized as well as unsignalized intersections. You’ll also learn how to make pedestrians use public transportation and how to model their choice between walking and taking public transportation. Finally, you will evaluate the pedestrian simulation, examine its different applications and learn how to extend the mobility modeling workflow (for example the possibility of using Dynamic Public Transport Assignment to get skims for the four-step model).

It’s important to note that the pedestrian model embedded in Aimsun Next is designed to increase the realism of urban studies modeling multimodal networks, so this training course is primarily aimed at practitioners and engineers with a strong focus on road networks. For modeling high-fidelity pedestrian flows inside terminals and other buildings, you’ll need to use Aimsun Next in conjunction with third-party tools, such as Legion’s pedestrian simulator.

Scripting in Aimsun Next is a powerful means of modifying a model, importing or exporting data and calculating and displaying results. This course teaches you how Aimsun Next scripts can dramatically increase your efficiency, including a full day of hands-on exercises.

Note that while the course includes a review of the Python language, you will definitely need a decent level of familiarity with Python and the concepts of programming.

If you are ready to start building more complex models that are on a larger scale and/or that integrate micro, meso and macro levels, then this is the course for you.

We’ll take you on a detailed walk-through of the methodology and workflow for complex projects with exhaustive tuition on calibration techniques, covering behavior parameters and route calculation, as well as real data comparison techniques.