With current, trusted street data in hand, West Greenwich moved from reactive to proactive—scheduling work earlier, coordinating contractors, and aligning budgets with real needs.
West Greenwich manages a spread-out roadway network where freeze–thaw cycles quickly degrade pavement and limited staff must cover many miles. The town’s paving decisions relied on outdated or inconsistent data, making it hard to know which roads to fix or when and leaving crews reactive to complaints instead of following a clear plan. Without defendable numbers, leaders struggled to justify budgets at council meetings and to show efficient use of taxpayer dollars.
To change this, West Greenwich chose Cyvl to rapidly survey every public road, scanning 66 miles with vehicle-mounted LiDAR and calibrated sensors. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to convert raw data into segment-level condition scores, mapped distresses, and a prioritized, costed maintenance and paving plan with ready-to-share reports. Delivered by May 1, 2023, the town received a web dashboard and PDF deliverables that unlocked defensible plans, clear repair lists, and transparent communication with residents and leadership.
With current, trusted street data in hand, West Greenwich moved from reactive to proactive—scheduling work earlier, coordinating contractors, and aligning budgets with real needs. Because the findings were delivered by May 1, 2023, the town compressed the time between assessment and construction, so residents saw improvements faster and with fewer disruptions. Public works gained a single source of truth for all 66 miles, making it easy to explain priorities, answer “Why not my road?” questions, and show responsible stewardship of tax dollars.