Within weeks of collection, Barnstable received a complete, consistent pavement dataset with detailed, actionable condition data covering all 464 miles, delivered on December, 13, 2024.
Barnstable maintained a large coastal street network with aging pavement but relied on outdated and inconsistent ratings spread across spreadsheets and PDFs. Without reliable, current data, leaders struggled to build accurate paving budgets or decide which roads to fix and when. At public meetings, staff faced a steady drumbeat of “Why not my road?” and could not easily justify actions amid rising 311 complaints.
To move fast, Barnstable chose Cyvl’s Infrastructure Intelligence. Cyvl used vehicle-mounted LiDAR and sensors to rapidly survey 464 roadway miles and, by December, 13, 2024, delivered AI-generated condition scores, prioritized repair lists, and defensible, resident-first plans. The platform produced detailed, actionable pavement condition data, clear maps, budgets, and phasing reports that helped city leaders make better decisions and take action faster.
Within weeks of collection, Barnstable received a complete, consistent pavement dataset with detailed, actionable condition data covering all 464 miles, delivered on December, 13, 2024. The city’s engineers translated this into a practical, year-by-year work program that balanced preservation and rehabilitation to stretch every taxpayer dollar. With clear, defensible data, leaders communicated priorities, coordinated crews, and accelerated projects residents could see and feel.