In just weeks, Greenwood gained a complete, street-by-street view of pavement health and a verified sign inventory, giving staff the confidence to act.
Greenwood’s public works team was working from outdated and inconsistent street condition information, making it difficult to know which roads to fix or when and weakening budget estimates. With limited, aging records, staff struggled to answer the constant “Why not my road?” questions and defend choices in council and neighborhood meetings, which fueled 311 complaints. Leaders needed reliable, up-to-date data to make informed decisions and act fast for the community, but manual updates and partial inventories kept the city reactive.
To move quickly, Greenwood chose Cyvl to perform a rapid, vehicle-based survey using LiDAR and high-resolution sensors across 28 roadway miles, while also inventorying 1,263 traffic signs. The Cyvl Infrastructure Intelligence platform used AI to transform raw data into detailed pavement condition scores, prioritized repair lists, and defensible work plans the city could explain to residents and council. Delivered on July 14, 2023—weeks instead of months—the results equipped leaders with accurate budgets, interactive maps, and reports so they could make better decisions and mobilize crews faster.
In just weeks, Greenwood gained a complete, street-by-street view of pavement health and a verified sign inventory, giving staff the confidence to act. With clear condition scores and repair priorities, the city scheduled work that targeted the highest-impact segments first and aligned spending with needs residents feel every day. Transparent visuals and numbers improved communication in public meetings and reduced guesswork in budget planning.