Skip to main content

Aimsun unveils test platform for AVs in digital cities

Aimsun has released a software platform for the large-scale design and validation of path-planning algorithms for autonomous vehicles (AVs). The company says Aimsun Auto allows test vehicles to drive inside digital cities - virtual copies of transportation networks, where users can safely explore the limits of AV technology. Paolo Rinelli, global head of product management at Aimsun, says Auto removes the need to drive around seeking conditions that users want to test or to “script each actor’s behaviou
August 7, 2019 Read time: 2 mins
16 Aimsun has released a software platform for the large-scale design and validation of path-planning algorithms for autonomous vehicles (AVs).


The company says Aimsun Auto allows test vehicles to drive inside digital cities - virtual copies of transportation networks, where users can safely explore the limits of AV technology.

Paolo Rinelli, global head of product management at Aimsun, says Auto removes the need to drive around seeking conditions that users want to test or to “script each actor’s behaviour frame-by-frame”.

“Auto can execute thousands of concurrent instances much faster than real time on private or commercial cloud infrastructure, effectively covering the equivalent of millions of autonomous miles overnight,” he adds.

The solution is expected to complement sensor-testing tools and driving simulation software, being able to integrate into a test environment and providing a scenario generation engine for both ordinary and non-compliant solutions.

It can be used to analyse traffic violations such as rolling stops, running red lights, jaywalking or speeding as well as the dilemma of an AV ‘choosing’ who to spare in a fatal accident, the company adds.

Artificial intelligence start-ups can use Auto to validate the development of the AV stack – domain controllers which handle perception, decision and control. Government regulators can use the platform to test and authorise the deployment of AVs on public roads while AV test tracks can utilise Auto to generate synthetic traffic for testing AVs in an augmented reality environment.

For more information on companies in this article

Related Content

  • Driven demos AVs operating ‘safely’ in London
    October 7, 2019
    The Driven Consortium has completed a week-long demonstration which it says shows that autonomous vehicles (AVs) can operate safely in London - with a safety driver. Driven - a £13.6 million initiative supported by the UK government - carried out the demo around Queen Elizabeth Olympic Park in Stratford in the east of the city. Driven has focused on completing fully-autonomous routes within the UK capital and the city of Oxford using Oxbotica’s autonomous software. Consortium members Moninet and Axa XL p
  • Driven demos AVs operating ‘safely’ in London
    October 7, 2019
    The Driven Consortium has completed a week-long demonstration which it says shows that autonomous vehicles (AVs) can operate safely in London - with a safety driver. Driven - a £13.6 million initiative supported by the UK government - carried out the demo around Queen Elizabeth Olympic Park in Stratford in the east of the city. Driven has focused on completing fully-autonomous routes within the UK capital and the city of Oxford using Oxbotica’s autonomous software. Consortium members Moninet and Axa XL p
  • Autopilot highlights shape of Things
    March 30, 2020
    Driverless vehicles require rich data to operate safely, and a European consortium is harnessing the Internet of Things to help.
  • Zenzic identifies ‘golden threads’ to accelerate AV roll-out
    September 12, 2019
    A UK organisation has identified 500 ‘milestones’ to be passed in order to get connected and autonomous vehicles (C/AVs) on the road in numbers by 2030. Zenzic, which was set up by government and industry to coordinate a national platform for testing and developing C/AVs, has launched the UK Connected and Automated Mobility Roadmap to 2030. It identifies six ‘golden threads’ which highlight areas dependent on cross-industry collaboration to make self-driving services accessible to the public by the end of