ROAD CONDITION MONITORING: HELPING LOCAL AUTHORITIES ADOPT AI WITH CLARITY AND CONFIDENCE

Road Condition Monitoring: Helping Local Authorities Adopt AI with Clarity and Confidence.

Our second AI Mini-Guide, sponsored by Gaist, explores one of the most immediate and high-impact applications of AI: Road Condition Monitoring.

As AI moves from pilot projects to operational tools, Local Authorities are beginning to realise its full potential. The benefits are not just technical, they’re financial, reputational and practical.

The Guide Highlights:

• How AI is Being Used Today
• Emerging Trends
• Opportunities and Benefits
• Barrier and Challenges
• Limitations to Keep in Mind

It also includes a detailed case study, showcasing two real-world examples of how AI is already improving outcomes for highway authorities through more efficient and accurate Road Condition Monitoring.

Upcoming Titles in the Series:

• AI in Severe Weather / Resilience
• AI in Road Safety
• AI in Cyber Security
• AI in Road Signals
• AI in Connected Data from Vehicles

Each guide is paired with an educational webinar and is packed with practical insights, real-world case studies, and expert guidance to help professionals adopt AI safely and effectively.

Want to Shape the Future of AI in Highways?

We’re calling for:

• Local authorities with case studies or trials
• Suppliers driving AI innovation
• Sponsors who want to position themselves as industry experts

For more information, contact Susanne Ingham, LCRIG Relationship Director susanne.ingham@lcrig.org.uk.