As automated and highly-automated vehicles (HAVs) are gradually deployed on public roads, regulators globally are faced with the challenge of ensuring that these systems are safe for the public that are exposed to them. This challenge requires coordination of validation activities between national regulators and system developers – with common (or at least aligned) approaches to validation desirable.
One of the big challenges for regulators is achieving enough coverage of real-world situations to know that Automated Driving Systems (ADS) are acceptably safe. Automated Driving System (ADS) developers are now indicating that testing by driving vehicles on public roads alone is not sufficient, due to:
- The large number of miles needed to ensure sufficient coverage of the situations which will be encountered by a fleet of HAVs
- Issues over the lack of control of the test parameters
The solution is likely to involve more than one technology, but will almost certainly include an element of simulation.
MUSICC is creating a system to store and share a library of scenarios: an ADS will be expected to demonstrate its performance in these before release to market. As far as we know, MUSICC is the first project of its type to build a proof of concept system specifically designed for regulatory use. This gives it a strong potential to become a de facto standard. MUSICC will help to shape the future direction of the industry, positioning the UK as the “go-to” place for CAV certification testing backed by government.
The project is led by a regulator (Department for Transport) and an impartial, neutral mediator (Connected Places Catapult). It is influenced by a highly credible industrial advisory group, including representatives of several major OEMs, tool providers, ADS developers, research and innovation organisations, CAV testbeds and insurers.
A functional prototype system has been built and is undergoing user trials with interested stakeholders. We are now starting the second phase of the project, which involves gathering feedback from real users and understanding how test scenarios might be used in a future regulatory regime.