Thompson, CT

Thompson, CT Infrastructure Assessment

Summary

• 99 roadway miles scanned with LiDAR and sensors, delivered in weeks by May 5, 2023
• Actionable pavement condition data turned into clear, defensible plans that speed up repairs for residents
• Data-driven decisions improved safety, communication, and use of taxpayer dollars across neighborhoods

Problem

Thompson managed a large, rural road network with outdated and inconsistent pavement condition data, making it difficult to see where the true needs were. Without current, trustworthy information, the team didn’t know which roads to fix or when, and planning often shifted in response to complaints rather than strategy. Residents frequently asked, "Why not my road?" at public meetings and through 311, and staff lacked a clear, transparent way to explain and defend choices.

Solution

Thompson chose Cyvl to rapidly survey 99 roadway miles using vehicle-mounted LiDAR and sensors, capturing lane-level distresses and geometry in a fraction of the time of manual methods. Cyvl’s Infrastructure Intelligence platform used AI to convert the raw scans into detailed, actionable pavement condition scores, prioritized repair and preservation lists, mapped work packages, and defensible multi‑year plans with cost estimates. The town received results in weeks—delivered by May 5, 2023—so leaders could immediately communicate priorities, schedule work, and move projects into construction faster.

Impact

With trusted and up-to-date data for all 99 miles, Thompson shifted from reactive fixes to a transparent, proactive roadway program that aligns engineering decisions with resident needs. The team can now show where funds go, what results to expect, and when each neighborhood will see work—reducing confusion and building confidence. Weeks‑fast delivery compressed the timeline from survey to implementation, so potholes and safety risks are addressed sooner and taxpayer dollars go further.

• Residents experience faster repairs because crews now receive precise, street‑level work lists tied to objective condition scores
• Fewer 311 complaints and smoother town meetings as staff can explain, show, and defend the plan with clear maps, scores, and timelines
• Safer travel with earlier identification of hazards and targeted treatments that prevent failures before they spread
• Budget requests are easier to justify with data‑backed cost estimates and projected outcomes for each treatment and corridor
• Planning that once took months now happens in weeks, accelerating bid prep, scheduling, and coordination with utilities and contractors
• Equitable, transparent prioritization ensures every neighborhood understands where it stands and when improvements will occur