By April 12, 2022, Cyvl delivered a complete, map‑based pavement condition dataset, enabling Hamden to move from assessment to action in weeks.
Hamden’s residents were feeling the impact of aging pavement—potholes, rough rides, and delays that strained family schedules and local businesses. Traditional windshield surveys were slow, manual, and expensive, often producing condition inventories that were outdated by the time they were compiled. Without up-to-date, network-wide pavement data, budgets were reactive, engineering decisions lacked precision, and projects routinely took months to move from assessment to construction, leaving taxpayers waiting for visible improvements.
Hamden chose Cyvl to rapidly survey the city’s entire roadway network using mobile LiDAR and high‑resolution sensors, capturing 210.3 roadway miles with precise pavement condition details. Cyvl’s Infrastructure Intelligence platform transformed this dataset into segment‑level pavement condition indices, distress types, and recommended treatments, with exportable reports to support budgeting, engineering design, and contractor bidding. Delivered on 2022-04-12, the city received a comprehensive, actionable plan that enabled decisions and mobilization in weeks rather than months—accelerating safer, smoother streets for residents.
By April 12, 2022, Cyvl delivered a complete, map‑based pavement condition dataset, enabling Hamden to move from assessment to action in weeks. The 210.3 miles of segment‑level condition data and treatment recommendations helped leaders finalize a multi‑year, budget‑ready program and a near‑term maintenance schedule. Residents benefited from faster repairs, safer travel, and more transparent use of taxpayer dollars as projects advanced sooner and more efficiently.