New AI Mini-Guide Published: Road Condition Monitoring

We’re excited to share the second installment in our AI Mini-Guide Series, a set of practical, jargon-free resources designed to cut through the hype and show how AI can deliver real results in highways and road infrastructure technology.

Sponsored by Gaist, this new guide focuses on 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.

What’s Inside the Guide

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

You’ll also find a detailed case study, featuring two real-world examples of how AI is already helping highway authorities achieve more efficient and accurate road condition monitoring.

What’s Next in the Series

Upcoming AI Mini-Guides will explore:

  • 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 packed with practical insights, case studies, and expert advice to help professionals adopt AI with confidence.

Get Involved

We’re inviting contributions from across the sector:

  • Local authorities with case studies or trials
  • Suppliers driving AI innovation
  • Sponsors looking to position themselves as industry leaders

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

Access the Guide Here

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