With trustworthy, current data in hand, Oakdale shifted from reactive firefighting to proactive management of its streets.
Oakdale faced growing pressure to decide which roads to fix without reliable, current information, relying on outdated spreadsheets and inconsistent field notes that made budgeting guesswork. With limited ability to build defensible paving plans, the city often found itself reactive to complaints instead of executing a clear prioritization method across the network. These gaps made it hard to explain decisions at council meetings, strained the budget process, and slowed down visible improvements for residents.
Oakdale selected Cyvl to rapidly survey the entire network, scanning 102 roadway miles with vehicle-mounted LiDAR and sensors and delivering results by August 20, 2024. Cyvl’s Infrastructure Intelligence platform used AI to transform the raw data into detailed, segment-level pavement condition scores, repair recommendations, and cost scenarios that city leaders could trust. With defensible reports, prioritized project lists, and council-ready visuals, staff gained everything needed to build a comprehensive, multi-year plan in weeks instead of months.
With trustworthy, current data in hand, Oakdale shifted from reactive firefighting to proactive management of its streets. The weeks-fast delivery meant the city could move from survey to scheduling quickly, reducing the time between what residents report and what crews fix. Clear condition scores and transparent prioritization helped explain “why this road now,” improving community trust and speeding approvals.