Today, there is no standardized test for judging how well an automated driving system performs in the real world. While human drivers must pass a test before receiving a license, no equivalent exists for autonomous vehicle technology.
NHTSA Administrator Jonathan Morrison announced the initiative, called ASCEND, at the AI Horizons Summit in Pittsburgh this week. The consortium aims to accelerate the development of performance standards for automated driving systems (ADS), with an initial focus on competency — what it means for an AV to be a safe driver on public roads.
"Our top priority for this consortium is ADS competency, which will inform and accelerate a corresponding federal motor vehicle safety standard," Morrison said at the summit. "Ultimately, our ADS performance rulemaking will provide federal leadership in this space."
The move comes as vehicles like the Tesla Cybercab and Zoox robotaxi — which lack traditional federally required equipment such as pedals, steering wheels, side mirrors and rearview mirrors — are being developed and deployed. Existing Federal Motor Vehicle Safety Standards (FMVSS) were not designed for such vehicles.
Morrison described the challenge as avoiding a game of "whack-a-mole" with policy decisions and resisting the temptation to predict how the technology will evolve. The agency says the framework will put safety at the foundation while continuing to encourage innovation.
No timeline has been set for when the consortium will produce ADS standards. The initiative also aims to address what Morrison called a "burgeoning past patchwork of inconsistent state and local level requirements" for autonomous vehicles, by providing a consistent federal benchmark.
NHTSA is working on a broader federal automated vehicle framework, of which the ASCEND consortium is a part. The agency has not indicated when it expects to finalize any specific rulemaking.