RoadAI is officially approved for surveying road conditions under the UK Department for Transport's PAS 2161 standard.
Great news for English local road authorities: RoadAI is now officially approved for surveying road conditions under the new PAS 2161 standard. Users can now report road condition data to the DfT without resorting to additional methods or tools, making RoadAI an invaluable asset for comprehensive, reliable, and cost-effective road data collection, management, and reporting.
What PAS 2161 means for road authorities
Developed with the British Standards Institution and Transport Research Laboratory, PAS 2161 is the most comprehensive technical evaluation of road condition monitoring technology to date. It exemplifies a truly outcome-driven and technology-agnostic approach to road condition reporting; with PAS 2161, road authorities are no longer limited by the costly point-in-time surveys solely for the purpose of reporting to the DfT.
For RoadAI, passing the evaluation is significant not just for users in England but for the global road maintenance sector. RoadAI already outputs results in widely used formats such as HMDIF (UK), ASTM D6433 (United States), and M3 (France), enabling road authorities to integrate the data seamlessly into their existing processes. With PAS 2161 approval, road agencies worldwide can also be confident that data from RoadAI is accurate, consistent, and repeatable.
RoadAI: Quality and accuracy you can rely on
RoadAI team has rigorously developed the product and its methodology for nearly a decade, grounding it in our long-standing principle of working closely with end users and committing to data validation. We have conducted multiple studies across varied climates, geographies, and road networks to prove that RoadAI consistently delivers high-quality, reliable data. With RoadAI, road agencies can base critical operational and capital investment decisions on dependable, accurate insights.
No more subjective assessment. Get used to always-fresh, reliable data.
RoadAI is by far the most trusted computer vision-based road condition monitoring tool in the UK, helping multiple UK councils streamline their road asset management processes since 2018. This is not surprising, as with RoadAI, cities and road authorities are no longer tied to slow, expensive legacy methods such as LCMS, laser scanning, or inconsistent manual inspections. Plans based on these traditional data sources are often already outdated by the time they are implemented, leading to missed opportunities for low-cost preservation and resulting in costly resurfacing later. RoadAI changes this completely:
Any vehicle, anytime: collection is as simple as mounting a mobile device.
Processing in hours: results are available almost immediately.
Operationally simple: engineers can translate data directly into hands-on maintenance plans.
The impact: longer lifetime, reduced carbon footprint
RoadAI makes adopting data-driven, early intervention asset management not just possible, but easy, with the potential to deliver huge societal benefits:
Extension of pavement life by detecting and treating defects earlier.
Reduction in lifecycle costs through fewer emergency repairs and fewer major renewals.
Reduced material use by shifting from heavy overlays to lighter surface treatments.
Lower carbon footprint thanks to reduced asphalt, aggregates, and energy-intensive works.
Bottom line
RoadAI provides value way beyond meeting the PAS 2161 standard. It makes road condition intelligence easy to use, accurate, and dependable, helping users confidently understand and act on road condition data. For road agencies everywhere, the opportunity is clear: longer asset life, lower costs, reduced carbon, and more informed decisions.
From 2026, local authorities will be required to collect data in the format specified in PAS 2161, using a data technology approved by the DfT. Book a session with our experts to find out how to get ready.
