Training

Whether you are a beginner or a seasoned pro, we have a training path for you: our highly qualified trainers give hands-on courses all over the world, ranging from core skills to advanced programming for research.

We also offer in-company training, and can customize course content to suit your needs.

Practical information

In order to accommodate Covid-19 related restrictions, most of our upcoming training courses are taught remotely. Please contact info@aimsun.com.


While there is no need for prior experience with Aimsun Next software to attend the beginners’ courses, we recommend that complete novices run through the tutorials in the Aimsun Next installer beforehand to familiarize themselves with the software.

Available courses languages are English, French and Spanish.

All in-person courses comprise 7 hours per day of instruction plus a 1-hour lunch break and two 15-minute coffee breaks. Standard start/finish time is 09:00 to 17:30. Hours differ for online courses.

We can supply official certificates upon course completion.

Registration fees depend on the course content and location. They include instruction, training materials and refreshments.

For the hands-on exercises, participants need to bring their own laptops, unless advised otherwise. We provide temporary licences of Aimsun Next software.

Registrations are subject to availability and payment must be received in full in advance of the course. We accept wire transfers and major credit cards.

Aimsun Next Training for Beginners

About


Our beginners’ courses for Aimsun Next are offered in three modules, usually together in the same week.

The courses recommended vary based on your Aimsun Next edition.


Core Skills

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


Meso, hybrid, macro

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


Strategic Modeling

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.

Day 1

Travel Demand Modeling the four-step model

Trip generation

Trip distribution

Modal Split

Static public transport assignment

Aimsun Next Training for Experienced Users

About


These are more advanced courses, designed for modelers who already have some practical experience.

Edition

Recommended Courses


Pro Micro


Pro Meso


Pro TDM




Scripting

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.

Day 1

Introduction to Python

Variables & data types

Operations

Control flow statements

Defining a function

Introduction to scripting in Aimsun Next

Applications

Creating a script

Executing a script

Using the scripting documentation

Architecture of the Aimsun platform

Day 2

Aimsun Next scripting in practice – Exercises

Error-checking inputs

Post-processing outputs

Exporting data

Editing the model

Importing data

Running a simulation

Customizing cost functions


Multi-tier & calibration

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.

Day 1

Multi-resolution modeling

Macroscopic, mesoscopic and microscopic modeling approach

Hybrid simulation

Static and dynamic cost functions

Path calculation techniques

Demand preparation

Multi-resolution modeling project workflow

Exercise

Day 2

Advanced calibration of mesoscopic and microscopic models

Calibration workflow

Procedures to estimate calibration parameters from real data

Tips and techniques to troubleshoot calibration issues

Validation criteria

Importing real data

Statistic indicators to compare simulation outputs with real data

Course Calendar

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