Scripting with time series
March 2021: Tessa Hayman guides you through the complexity of handling time series via Python scripting and explains how to create your custom time series in a way that can be visualized in the UI.
Synchronized road geometry
Mar 2021: New! Now you can synchronize the geometry for co-simulation with Aimsun Next and Simcenter Prescan from Siemens Digital Industries Software.
How to Connect Siemens UTC SCOOT to Aimsun Next 20
February 2021: Did you know that an Aimsun Next junction (node) can be linked to an external controller, such as the Siemens UTC System with SCOOT?
February 3, 2021, ITS2 Webinar – Smart Motorways
Aimsun’s Alex Torday describes Aimsun’s pioneering contributions to traffic management on smart motorways in Australia.
How to define different costs per trip purpose in static models
January 2021: In Technical Note #53, we gave some tips on how to modify the cost for static assignment based on the vehicle type. In this month’s pro tip, Marga Delgado explains how to do it per trip purpose.
Semi-controlled testing at the Culham Science Centre
OmniCAV blog, Dec 2020: Dr Garry Staunton, Lead Technologist in Remote Applications in Challenging Environments at UKAEA, discusses the benefits of semicontrolled AV trials.
How to exchange data between SIDRA Intersection and Aimsun Next
December 2020: Using the Aimsun Next interface with SIDRA signal design software helps you create more realistic models, reduces the calibration effort and improves the model performance.
How to define speed limits by vehicle class in static models
November 2020: In the previous tip, we shared a method for coding different speed limits for different vehicle types in dynamic models. In this month’s pro tip, Tessa Hayman explains how to do it for static models.
How to set different speed limits for different vehicle types in Aimsun Next
October 2020: Tessa Hayman reveals how to set different speed limits for different vehicle types in dynamic models.
How to model pedestrian crossings in Aimsun Next
Sep 2020: New pro tip! Our latest tutorial video shows you how to include pedestrian crossings in your Aimsun Next traffic model.
NEVFMA Network Emissions / Vehicle Flow Management
An Aimsun Live deployment in Oxfordshire, UK with integrated air dispersion modeling.
How to use hybrid macro-meso simulation in Aimsun Next
August 2020: Tessa Hayman explains hybrid macro-meso simulation in Aimsun Next 20 and how it can unite the best of macro and meso to enable regional-scale modeling.
How to model cyclists in Aimsun Next
July 2020: In Aimsun Next you can now add non-lane-based vehicles such as bikes to your model. In this technical note, we will explore how to create cyclists in your model and look at a few possible scenarios.
How to use the Aimsun Next Pedestrian Simulator
June 2020: Our new embedded pedestrian simulator is super fast, comes free of charge in the main installer, simulates an unlimited number of pedestrians.
How to use the new path assignment plan in Aimsun Next
May 2020: Dimitris Triantafyllos, explains how the Path Assignment Plan feature gives you unparalleled flexibility in reusing previously calculated paths.
How to check real data set consistency
April 2020: Emmanuel Bert describes how our Real Data Set Consistency Checker can help you in calibration and validation tasks.
How to model connected and autonomous vehicles
March 2020: Martin Hartmann explains a quick and convenient way to study assumption-based behavior of autonomous and connected vehicles.
Three ways to profile traffic demand for more efficient modeling
February 2020: Tessa Hayman shares three different ways to profile traffic demand that can help you build models efficiently.
How to use template scripts for fast visualization of signalized nodes
January 2020: There are various scripts available in the template: Margarida Delgado explains how Script nº 10 can speed up the process of filtering and viewing signalized nodes.
How to code roundabouts – Part 2
December 2019: Tessa Hayman explains how to adjust parameters on roundabouts to ensure accurate behaviour and calibration in dynamic models.
