New AI Mini-Guide Published: Severe Weather

We’re excited to share the third 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 Colas, this new guide focuses on how AI can support local authorities in responding to severe weather more effectively.

From surface sensors and road weather information systems (RWIS) to intelligent salt spreading and hazard prediction, AI tools offer new possibilities to keep roads safer while reducing cost, waste and environmental impact.

What’s Inside the Guide

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

It also features a detailed case study of an AI-powered Smart Winter Management solution that uses machine vision to automatically detect changes in snow coverage from road camera images in real-time. In addition, it presents two real-world examples of how AI is already enhancing outcomes for highway authorities through AI-driven infrastructure modelling and vehicle telematics.

Mark Saunders, UK Client Director at Colas Ltd, said:

“The roads sector continually adapts to ensure the safe, efficient management of the assets critical to keep people moving. One of the latest pressures on these assets is the ever-changing environmental conditions we all face. We are pleased to support LCRIG’s new Mini-Guide, which puts the spotlight on the use of AI to understand, anticipate and respond to adverse weather, improving resilience in day-to-day operations while ensuring the trust and confidence of residents and the travelling public.”

Explore the First Two Guides:

You can find the earlier Mini-Guides in the Resources section of the LCRIG website:

  • Road Condition Monitoring: Helping Local Authorities Adopt AI with Clarity and Confidence
  • Demystifying AI in Highways and Road Infrastructure Technology

Upcoming AI Mini-Guides will explore:

  • 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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