With complete, trustworthy pavement condition data delivered by August 28, 2023, Oyster Bay shifted from reacting to complaints to executing a proactive, transparent program.
Oyster Bay managed a large and diverse road network with information that was outdated and inconsistent from one neighborhood to the next. Without current condition data, the team didn’t know which roads to fix or when, and struggled to translate limited insights into accurate paving budgets. At the same time, they were often playing defense to resident complaints—fielding “Why not my road?” questions and facing tough town meetings without a clear, defensible prioritization method.
Oyster Bay chose Cyvl to modernize its pavement program with fast, objective intelligence. Cyvl used vehicle‑mounted LiDAR and sensors to rapidly survey 917 roadway miles, then applied AI in the Infrastructure Intelligence platform to produce block‑level condition scores, prioritized repair lists, and defensible multi‑year plans. The town received map‑based reports, budget scenarios, and work schedules in weeks, enabling leaders to make better decisions faster and take action residents could see.
With complete, trustworthy pavement condition data delivered by August 28, 2023, Oyster Bay shifted from reacting to complaints to executing a proactive, transparent program. The team translated the 917‑mile assessment into clear schedules and budgets that addressed the highest‑impact corridors first and coordinated work across crews and utilities. Because the intelligence arrived in weeks rather than months, residents experienced faster fixes, safer travel, and clearer communication about what comes next.