Each year, 1.35 million people die in road collisions globally (WHO). In the UK alone, 1,633 fatal road incidents and 29,537 people killed or seriously injured (KSI) were recorded in 2024 (DfT). The estimated economic cost of road collisions exceeds £55 billion, factoring in healthcare, insurance, productivity loss, and congestion impacts (DfT, RAS40001, 2024).
Local authorities play a central role in reducing this toll. Yet in many authorities, analysis of collision reports and vehicle behaviour remains manual, slow, patchy and retrospective. AI brings a fundamentally different approach.
How AI Can Help Deliver Smarter, Faster Safety Outcomes
In this LCRIG-led webinar, we discussed how AI-driven tools could help authorities understand risk earlier, direct resources more effectively and deliver better outcomes for all road users.
This session was delivered in partnership with TRL, sponsor of the upcoming edition of our AI Mini-Guide: AI in Road Safety.
Agenda
- Welcome and insights from the LCRIG AI Mini-Guide
- Why the AI hype now? – Chris Kettell, TRL
- Outcomes of Devon and Cornwall trial of AI detection of distracted driving – Adrian Leisk, Devon and Cornwall Police and Geoff Collins, Acusensus
- Collision Prediction – Can AI do this? – Subu Kamal, TRL
- Demonstration of iMAAP AI Enabled Collision Prediction – Raj Mohan, TRL
- Open Q&A Session
Key Topics
We showcased verified, operational deployments of AI with documented outcomes, including:
- AI-Enhanced Collision Analysis and Reporting
- Computer Vision: Real-Time Detection and Automated Response
Attendees gained practical insights into how data can be transformed into proactive, evidence-based decisions that enhance road safety strategies.
Meet the Speakers
- Chris Kettell – Chief Technologist at TRL
- Raj Mohan – Product Owner at TRL
- Subu Kamal – Head of Product Management at TRL
- Geoff Collins – UK General Manager at Acusensus UK
- Adrian Leisk – Head of Road Safety at Devon and Cornwall Police
- Chair – Paul Hutton, Owner of Highways News