With detailed pavement condition data for all 95 miles and a complete inventory of 2,199 signs, Foxborough moved from reactive fixes to a clear, proactive roadmap that residents can see in action.
Foxborough faced New England freeze–thaw damage and event-driven traffic surges with outdated or inconsistent data, making it hard to know which roads to fix or when. Staff were stuck playing defense to resident complaints, constantly asked “Why not my road?” and struggling to justify actions during public meetings. Without reliable information, paving budgets and schedules were difficult to defend, and crews were forced into reactive work rather than a strategic program residents could trust.
Foxborough chose to rapidly deploy Cyvl’s LiDAR and sensor-based survey to capture high-resolution data across 95 miles of roadway, producing a consistent, town-wide view in weeks. Using Cyvl’s Infrastructure Intelligence platform, the town unlocked pavement condition scores, prioritized repair lists, and defensible, data-backed plans and reports that support faster, better decisions. The platform’s AI analytics and dashboards translated raw data into actionable, transparent work plans the town could use immediately after delivery on November 16, 2023.
With detailed pavement condition data for all 95 miles and a complete inventory of 2,199 signs, Foxborough moved from reactive fixes to a clear, proactive roadmap that residents can see in action. The short turnaround—from data collection to delivery in weeks—compressed planning time so crews could schedule work sooner, coordinate with utilities, and minimize disruption. Transparent maps, scores, and reports improved public understanding, helping leaders explain priorities and demonstrate efficient use of taxpayer dollars.