Lunenburg, MA

Lunenburg, MA Infrastructure Assessment

Summary

• 88 roadway miles scanned and analyzed in weeks, not months, delivering decision‑ready data by September 23, 2022
• Clear condition scores and prioritized repair lists enabled a transparent, resident‑first paving program
• Faster scheduling and smarter budgets led to quicker fixes, safer streets, and fewer complaints

Problem

Lunenburg’s road program relied on outdated and inconsistent information, making it hard to know which streets to fix or when and leaving paving budgets based on guesswork instead of facts. Without a clear, defensible prioritization method, staff spent town meetings explaining decisions and fielding “Why not my road?” complaints, which eroded trust and slowed action. The city needed fast, reliable condition data to move from reactive maintenance to a plan leaders could stand behind and deliver on for residents.

Solution

Lunenburg chose Cyvl to rapidly survey every public street using vehicle‑mounted LiDAR and sensors, capturing a complete, objective record of 88 roadway miles. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to convert the raw data into block‑by‑block condition scores, unit‑cost estimates, and prioritized repair lists tied to budget scenarios. The result was a defensible, easy‑to‑share plan with maps, reports, and schedules that helped leaders act faster and show residents exactly what would be addressed and when.

Impact

Delivered on September 23, 2022, the city received detailed, actionable pavement condition data for all 88 miles in time to plan work ahead of seasonal deadlines. With decision‑ready reports arriving in weeks instead of months, Lunenburg accelerated design and scheduling, reduced time from survey to construction, and coordinated more efficiently with contractors and utilities. Clear data and transparent prioritization strengthened budget requests and public communication, easing town meetings and shifting the conversation from complaints to progress.

• 88 roadway miles scanned with LiDAR and pavement distress detection, with decision‑ready outputs delivered by September 23, 2022
• Time from field collection to decision‑ready reports cut from months to weeks, enabling crews to schedule repairs sooner and minimize detours
• Fewer 311 complaints and emails as residents see clear maps, timelines, and faster fixes on high‑need streets
• Budget allocation and project phasing streamlined with accurate quantities and unit costs, improving the efficient use of taxpayer dollars
• Safer, smoother travel as potholes and hazards are identified early and addressed faster, reducing flat tires and emergency work