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‘PAS 1883 Operational design domain (ODD) taxonomy for automated driving systems (ADS)’ is a specification intended to help enable safe automated driving by defining a common language for describing the operating conditions, such type of roads, traffic and weather, an automated vehicle has been designed to function in,” according to BSI. “The taxonomy will help organisations trialling and testing automated vehicles to describe their vehicles capabilities in a reliable and accurate way. This will also allow developers of CAV [connected and autonomous vehicle] technologies to communicate the capabilities of their vehicles clearly and consistently to the likes of road authorities, insurers and consumers.”
Free to download, the standard has been produced by experts from the UK CAV eco-system, including automated vehicle developers, test beds and road authorities – with WMG (was ‘Warwick manufacturing group’, at the University of Warwick) acting as technical author.
According to BSI, the standard “has attracted global industry views and is helping to inform the development of a related international ISO standards on the topic. BSI is interested in hearing from organisations who may be implementing the new PAS and are interested in contributing to a case study to share their experiences”.
PAS 1883 is intended to be used alongside other BSI standards developed to support CAV trialling and testing, such as PAS 1881 ‘Assuring the safety of automated vehicle trials and testing.
“Connected and self-driving vehicle technology has the potential to level up transport across the nation by making every day journeys greener, safer, more flexible and more reliable,” said Iain Forbes, head of the UK government’s Centre for connected and autonomous vehicles (CCAV). “However, none of these benefits will be realised without public confidence that connected and self-driving technology is safe and secure. That is why BSI’s CAV standards programme is so important.
It is the third publication from the CAV standards programme, backed by the CCAV and delivered in conjunction with the Department for Transport, Innovate UK and Zenzic.
Steering group members PAS 1883 include: ADA Innovation Lab, Arup, AXA XL, Burges Salmon, CCAV, Connected Places Catapult, Loughborough University, Oxfordshire County Council, Five, Met Office, National Physical Laboratory (NPL), Nominet, Ordnance Survey, TRL, Wayve Technologies, WMG, University of Warwick and Zenzic.
