Road collisions remain one of the most serious and costly challenges facing transport networks. Globally, 1.35 million people are killed each year (WHO), with thousands more seriously injured on UK roads. For local authorities, reducing this toll is a priority, yet many still rely on retrospective, manual analysis to understand risk.
Artificial intelligence is beginning to change that.
In this LCRIG-led webinar, industry and local authority experts explored how AI is already being used in real-world road safety applications, helping authorities identify risk earlier, target interventions more effectively and support casualty-reduction strategies with stronger evidence.
Delivered in partnership with TRL, sponsor of the latest AI Mini-Guide: Road Safety, the session focused on practical deployment.
What the webinar covered
Speakers shared live examples of AI in operation today, including:
- AI-enhanced collision analysis and reporting
- Computer vision for detecting distracted driving and seatbelt non-compliance
- Predictive approaches to understanding collision risk
- How data and machine learning can support proactive, evidence-based road safety decisions
- Case studies from Devon and Cornwall Police, Acusensus and TRL demonstrated how AI can support behaviour change, improve targeting of resources and help authorities move from reactive response to early intervention.
Why this matters now
In light of the recent launch of the Road Safety Strategy, local authorities face increasing pressure to reduce casualties, while public expectations around safety and transparency continue to grow. The webinar highlighted how AI can support better decisions, when it is applied responsibly, with human oversight and clear operational purpose.
Watch the full webinar and access the AI Mini-Guide
This summary only touches on the discussion.
LCRIG members can:
- Watch the full on-demand webinar recording
- Download the AI Mini-Guide: Road Safety
If you’re not yet a member but would like access, you can find out more about joining LCRIG on our membership page.