Within weeks, Saint Paul shifted from guesswork to a data‑driven pavement program that residents can see on the street.
Saint Paul manages a large, diverse street network that sees heavy seasonal wear from freeze–thaw cycles and high traffic volumes. Without up‑to‑date, consistent pavement data, leaders struggled to know which roads to fix or when, and ended up reacting to complaints instead of executing a strategic plan. At public meetings, staff were often asked “Why not my road?” and had difficulty justifying actions and budgets without a defensible, citywide condition picture.
To break the cycle, Saint Paul chose Cyvl to rapidly survey the network using vehicle‑mounted LiDAR and sensors, covering 302 roadway miles across the city. Cyvl’s Infrastructure Intelligence platform used AI to transform the scans into block‑by‑block pavement condition scores, prioritized repair and preservation lists, and clear, defensible plans and reports delivered in weeks—not months—by July 19, 2024. With detailed, actionable pavement condition data for all surveyed miles, city leaders gained a single source of truth to make better decisions and move from planning to action faster.
Within weeks, Saint Paul shifted from guesswork to a data‑driven pavement program that residents can see on the street. The city now schedules maintenance and paving with confidence, communicates priorities transparently, and aligns budgets to work that delivers the most value to taxpayers. Faster delivery of analytics shortened the time between data collection and project implementation, enabling crews to address the most critical needs before the construction season window closed.