2-6 October 2017, Training course: Simulating with Aimsun + Mastering Multi-Resolution Modeling and Calibration, New York City

Sign up now for this five-day Aimsun training course, which is made up of three days of hands-on, foundation exercises in micro and meso level simulation followed by a more advanced level module of two days that covers multi-resolution modeling/advanced calibration of mesoscopic and microscopic models.

Prices and registration

If you would like to attend one or both of these courses, please contact info@aimsun.com for prices and regsitration detials.

Course location

WeWork Williamsburg

134 N 4th St

Brooklyn

NY 11249

Course Contents

Morning session: 09:15 – 12:45 (including a 15-min break)
Afternoon session: 13:30 – 18:00 (including a 15-min break)

Editing a model (5 h)

• Geometry, traffic demand, signals, public transport

Managing scenarios(1 h)

• Dynamic scenarios, experiments and replications
• Revisions

Outputs (1 h 30 min)

• Time series, thematic maps

Outputs (continued) (30 min)

• Scenario comparison

Traffic management (4 h)

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

Dynamic traffic assignment (3 h)

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

Microscopic network loading (3 h 45 min)

• Microscopic vehicle behaviour
• Calibration of a microscopic model

Mesoscopic and hybrid network loading (3 h 45 min)

• Mesoscopic vehicle behaviour
• Calibration of a mesoscopic model
• Guidelines for hybrid microscopic-mesoscopic simulation

Multi-resolution modeling

• Macroscopic, mesoscopic and microscopic modeling approach
• Hybrid simulation
• Static and dynamic cost functions
• Path calculation techniques
• Demand preparation
• Multi-resolution modelling project workflow
• Exercise

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