Within weeks, Falmouth turned a one‑time survey into an operational advantage, using detailed pavement condition data to plan and schedule work with confidence.
Falmouth, MA faced a sprawling roadway network affected by coastal weather and seasonal traffic, but leaders lacked recent, consistent pavement data, making it hard to know which roads to fix or when. Outdated or inconsistent information left teams playing defense to resident complaints, fielding constant “Why not my road?” questions and a surge of 311 calls. Without trusted data, staff struggled to justify decisions in public meetings, and projects risked delay or misalignment with community needs.
Falmouth chose to deploy Cyvl to rapidly survey the entire network with vehicle‑mounted LiDAR and advanced sensors, scanning 390 roadway miles and delivering results by December 9, 2022. Cyvl’s Infrastructure Intelligence platform used AI to convert the raw scans into segment‑level condition scores, distress mapping, prioritized repair lists, and budget scenarios the city could act on immediately. With comprehensive, defensible analytics and clear reports, Falmouth gained a shared source of truth to plan work faster, communicate why, and move from reactive patching to proactive network management.
Within weeks, Falmouth turned a one‑time survey into an operational advantage, using detailed pavement condition data to plan and schedule work with confidence. Delivery on December 9, 2022 meant a shorter path from data collection to construction, speeding up visible improvements for residents. With transparent criteria and clear repair priorities, public meetings and budget reviews became easier to navigate, reducing uncertainty and building trust.