Qualification of Virtual Testing Tools for Automated Driving

As new vehicle technologies advance progressively towards higher levels of automation, new tools and testing methodologies are being developed by industry to validate the safety of these features, including, greater use of simulation-based testing.

In close collaboration with other governments and international experts, TC is taking the next steps needed to understand the ever-evolving landscape of Connected and Automated Vehicle (CAV) technologies, and how our safety regime can be adapted to support them. As part of this effort TC is seeking the assistance of an external research team to examine potential approaches for qualifying virtual test platforms t (i.e. confirming the accuracy and therefore reliability of virtual testing) as it may be applied by developers to assess the safety performance of Automated Driving Systems (ADS).

The objectives of the project are to:

1) review ADS safety assessment metrics and select the most relevant (i.e. important from a safety perspective) for simulation-based testing of road vehicles;
2) develop a procedure to quantify the accuracy of a virtual ADS test;
3) outline the process required to qualify virtual test platforms.