Case Study: Stoke-on-Trent City Council improves whole-network road condition surveys with RoadMetrics AI

Stoke-on-Trent City Council Performs a FullNetwork AI Based Road Condition Survey

Stoke-on-Trent City Council was facing challenges in obtaining accurate and consistent road condition data using traditional survey methods. Their process was time-consuming and lacked verifiable video evidence. The council engaged RoadMetrics AI to explore the feasibility of using its AI-based system to perform a full-network road condition survey.

RoadMetrics implemented its solution, which uses computer vision and AI to process video data collected via a smartphone kit. The system provided an automated assessment of road defects and line markings in accordance with UK guidelines. The results gave the council a comprehensive overview of its entire network, enabling better planning and prioritization of maintenance. Following the successful trial, Stoke-on-Trent City Council renewed its pilot with RoadMetrics for a second year.

Stoke-on-Trent City Council

Steven Lovatt

Head of Highways