The Road Safety Strategy sets clear national targets to reduce death and serious injury. For local authorities, the challenge is not intent but execution: how to identify and prioritise risk early enough to prevent harm, using evidence that is credible, scalable and defensible.

This session will present results from a Road Safety Trust funded pilot in Leeds, delivered in partnership with The Road Safety Trust, Leeds City Council, AISIN RoadTrace, Qi Managed Services, Metis and CitiSense.

The pilot applies anonymised, large-scale connected vehicle behaviour data to identify locations of elevated risk before collisions occur. Analysis focuses on harsh braking, speed behaviour and conflict indicators across the network, addressing a known limitation of relying solely on historic KSI data, particularly where collision volumes are low or risk is emerging.

Qi led end-to-end delivery and coordination. AISIN RoadTrace provided predictive risk intelligence. Metis and CitiSense supported analytical Ai camera integration and interpretation. Leeds City Council used the outputs to support site prioritisation and intervention planning aligned with Safe System and Vision Zero principles.

The project is underway at the time of submission. By the conference, full results will be available and presented publicly for the first time, alongside a formal evaluation report produced for the Road Safety Trust and intended for publication. Evaluation considers alignment between predicted risk and collision trends, professional validation by practitioners, and impact on decision-making.

This session will provide road safety professionals with a practical, transferable model for operationalising national KSI reduction targets using evidence available today.

Thierry Castermans, Expert Engineer - Solution Architect, Aisin Technical Centre

Thierry Castermans holds a PhD degree in Physics and has developed extensive experience in fundamental and applied research, in signal processing and data analysis.

Eight years ago, he joined AISIN, a tier-1 supplier in the automotive industry, and got involved as a data scientist in the development of AI projects with positive impact on society.
He is now responsible for the development team of the RoadTrace™ product line, which helps road operators improve safety and asset management by leveraging the connected vehicle big data.