By June 7, 2022, Haverhill had a complete, data-rich view of all 231 roadway miles, including detailed, actionable pavement condition data for every segment.
Before 2022, Haverhill relied on outdated and inconsistent pavement information, making it hard to know which roads to fix or when and difficult to defend paving budgets. Public works often played defense in town meetings, facing constant “Why not my road?” questions and a flood of 311 emails without shared facts to justify choices. With limited staff time and partial data, the city was stuck reacting to complaints instead of following a citywide plan residents could understand and trust.
Haverhill chose Cyvl to rapidly survey its entire street network, using vehicle-mounted LiDAR and sensors to capture high-resolution conditions across 231 roadway miles. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to convert the scans into detailed pavement condition scores, documented distresses, GIS layers, and prioritized repair lists that supported scenario-based, defensible work plans. Clear reports and maps were delivered by June 7, 2022, giving leaders accurate, network-wide data to act faster and communicate decisions with confidence.
By June 7, 2022, Haverhill had a complete, data-rich view of all 231 roadway miles, including detailed, actionable pavement condition data for every segment. Because delivery happened in weeks rather than months, crews could be scheduled sooner, shrinking the time between data collection and visible street improvements. Leaders used transparent condition scores and ranked project lists to align budgets, justify choices in public meetings, and target the highest-impact segments first.