Case Study: Leicester City Council cuts road survey costs and speeds up assessments with RoadMetrics AI

A RoadMetrics AI Case Study

Preview of the Leicester City Council Case Study

Leicester City Council receives an AI based road condition asseessment in compliance with the DfT's PAS2161 New Data Standard

Leicester City Council, responsible for managing a large road network, sought to modernize its road condition assessment process. The council engaged RoadMetrics AI through a market engagement exercise to explore innovative technologies that could move beyond traditional, costly survey methods.

RoadMetrics AI implemented a smartphone-based AI solution that allowed the council's highway officers to conduct surveys in-house. The system successfully identified and categorized defects with high reliability, leading to a renewal of the contract. RoadMetrics AI reduced assessment costs by up to 30%, enabled more efficient maintenance planning, and allowed for desk-based assessments that reduced unnecessary site visits and emissions.


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Leicester City Council

Abul Tarafdar

Highway Asset Manager


RoadMetrics AI

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