Training

We offer standard and customized Aimsun Next training, ranging from basic use to advanced programming for research.

Most of our standard courses are delivered either at our offices or in training facilities in major cities around the world. We run regular courses all over Europe, Australia, New Zealand and the Asia-Pacific Area, North America, and South America.

We are also happy to schedule on-site training and to customize course content to suit your particular requirements. We currently have the course material available in English, French and Spanish.

Course Calendar

Standard Aimsun Next training courses

Simulating with Aimsun Next

Day 1

Editing a model

Geometry
Traffic demand
Signal plans
Public transport

Managing scenarios

Dynamic scenarios, experiments and replications
Geometry configurations

Day 2

Outputs

Output calculation
Time series, thematic maps
Scenario comparison

Traffic management

Traffic management actions
Modeling incidents and mitigation strategies
Modeling turn restrictions, reversible lanes, and other scheduled events

Dynamic traffic assignment

Dynamic traffic assignment framework
Cost functions

Day 3

Dynamic traffic assignment (cont.)

Stochastic route choice algorithm and parameters
Dynamic user equilibrium algorithm and parameters
Practical applications

Microscopic network loading

Microscopic vehicle behavior
Calibration of a microscopic model

Mesoscopic and hybrid network loading

Mesoscopic vehicle behaviour
Calibration of a mesoscopic model
Hybrid microscopic-mesoscopic simulation

Aimsun Next Advanced from A-Z

Day 1

Editing a model

Geometry
Traffic demand
Signal plans
Public transport

Managing scenarios

Dynamic scenarios, experiments and replications
Geometry configurations

Day 2

Outputs

Output calculation
Time series, thematic maps
Scenario comparison

Traffic management

Traffic management actions
Modeling incidents and mitigation strategies
Modeling turn restrictions, reversible lanes, and other scheduled events

Day 3

Dynamic traffic assignment

Dynamic traffic assignment framework
Cost functions
Stochastic route choice algorithm and parameters
Dynamic user equilibrium algorithm and parameters
Practical applications

Microscopic network loading

Microscopic vehicle behavior
Calibration of a microscopic model

Day 4

Mesoscopic and hybrid network loading

Mesoscopic vehicle behavior
Calibration of a mesoscopic model
Hybrid microscopic-mesoscopic simulation

Macroscopic modeling

Static assignment
Traversal demand calculation
Demand adjustment

Aimsun Next Expert from A-Z


Day 1

Editing a model

Geometry
Traffic demand
Signal plans
Public transport

Managing scenarios

Dynamic scenarios, experiments and replications
Geometry configurations

Day 2

Outputs

Output calculation
Time series, thematic maps
Scenario comparison

Traffic management

Traffic management actions
Modeling incidents and mitigation strategies
Modeling turn restrictions, reversible lanes, and other scheduled events

Dynamic traffic assignment

Dynamic traffic assignment framework
Cost functions

Day 3

Dynamic traffic assignment (cont.)

Stochastic route choice algorithm and parameters
Dynamic user equilibrium algorithm and parameters
Practical applications

Microscopic network loading

Microscopic vehicle behavior
Calibration of a microscopic model

Mesoscopic and hybrid network loading

Mesoscopic vehicle behavior
Calibration of a mesoscopic model
Hybrid microscopic-mesoscopic simulation

Day 4

Travel demand modeling

Generation
Distribution
Modal split
Public transport assignment

Macroscopic modeling

Static assignment
Traversal demand calculation
Demand adjustment

Aimsun Next Multi-Resolution Modeling and Calibration

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 dynamic models

Calibration workflow
Procedures to estimate calibration parameters from real data
Tips and techniques to troubleshoot calibration issues
Validation criteria
Managing real data
Statistic indicators to compare simulation outputs with real data

General Information

While there is no need for prior experience with Aimsun Next software for these courses, we do strongly recommend that you take the time beforehand to familiarize yourself with the software and run through the tutorials in the Aimsun Next installer. This will ensure that you get the most out of the training.

Registration fees depend on the course content and location. They include instruction, training materials and refreshments. For the hands-on exercises, we advise participants to bring their own laptops. Registrations are subject to availability and payment must be received in full in advance of the course. Maximum class sizes apply.