With complete, current pavement data in hand, Billerica moved from reactive to proactive operations.
Billerica manages a busy network that connects neighborhoods to schools, jobs, and regional corridors, but leaders lacked consistent, current roadway data to guide decisions. Without accurate condition information, it was hard to know which roads to fix or when and nearly impossible to build accurate paving budgets, leading to reactive choices and uncertainty. Staff also fielded constant “Why not my road?” questions in town meetings and 311 calls, while manual windshield surveys were slow, unsafe, and often outdated by the time reports were ready.
Billerica selected Cyvl to rapidly survey the entire street network using vehicle-mounted LiDAR and sensors. In weeks—not months—Cyvl scanned 188 roadway miles and delivered detailed, actionable pavement condition data to the Infrastructure Intelligence platform by May 20, 2024. The AI produced condition scores, prioritized repair lists, and defensible multi-year plans and reports, giving city leaders the clarity to make better decisions and take action faster.
With complete, current pavement data in hand, Billerica moved from reactive to proactive operations. Engineering and public works used street-by-street scores to schedule resurfacing and maintenance with confidence, while finance built clear budget scenarios that residents can understand. Because delivery happened in weeks, residents saw quicker responses to needs and clearer communication about what is happening next and why.