RoadTrace by AISIN, a connected-vehicle-based platform for identifying high-probability KSI crash sites, has launched a new predictive road safety pilot in West Yorkshire.
The project is backed by funding from The Road Safety Trust and delivered in partnership with Qi Managed Services Ltd, Citisense, Leeds City Council, and Metis Consultants.
Developed by AISIN, RoadTrace by AISIN uses anonymised, large-scale connected-vehicle data to detect where serious crash risk is rising, before collisions occur. The methodology was peer-reviewed and validated through a 2024 white paper presented at the ITS World Congress, and is now being deployed globally as a proven tool within the Safe System approach.
In this pilot, Leeds City Council will apply RoadTrace by AISIN analytics to identify the highest-risk locations across its road network. One site will then be selected for on-street observation using a temporary AI-powered video camera provided by Citisense, capturing real-world road-user behaviour.
Metis Consultants, working with Citisense, will analyse the footage and data to develop targeted, evidence-based engineering recommendations aimed at preventing future harm.
Wesley Bateson, UK & Ireland lead for RoadTrace by AISIN, said: “This collaboration brings together proven connected-vehicle data methodology, advanced AI video observation, and expert design insight.
“It gives highways authorities and road-safety partnerships a practical way to intervene earlier. We’re moving beyond reactive safety based on past collisions and giving highways authorities and road safety partnerships a practical way to intervene earlier, before people are seriously injured or killed.”
The initiative supports Leeds’ Vision Zero strategy and forms part of a wider programme across West Yorkshire, where RoadTrace by AISIN is already supporting Calderdale and Bradford. It contributes to a growing national evidence base for cost-effective, scalable, and proactive safety interventions powered by advanced analytics.
The Road Safety Trust, which awarded the funding, commended the initiative for its strong emphasis on prevention, scalability, and real-world implementation.
Ruth Purdie OBE, chief executive of The Road Safety Trust, said: “This pilot project is seeking to take a significant step forward in road safety in the UK and could really help to prevent death and serious injuries on our roads.
“Using predictive technology and data in this way to identify potential crash sites could give highways teams and local authorities the tools and knowledge they need to make suitable interventions on these risk roads, which will hopefully save lives.”
A full case study with early results will be published in early 2026 and shared through national networks and on RoadTrace’s website.
Is the image of the junction and its users a creation of AI by any chance? It looks a bit artificial.
As Mr Walker implies, time spent observing the layout and road users’ behaviour would no doubt give the same results without the ‘connected vehicle’ technology…applies to most collision-prone sites, as well no doubt.
Hugh Jones, South Wirral
+1
This junction has so many things obviously wrong with it and non-compliance with design standards so it does not need connected vehicles platform so say that it is a high risk site.
richard walker, london
+1