Woodstock, CT

By August 26, 2022, Woodstock had network-wide condition scores and ready-to-use plans—delivered in weeks rather than months—so crews could act sooner.

Date
August 26, 2022
Location
Woodstock, CT

Woodstock, CT Infrastructure Assessment

Summary

  • Data-driven paving program delivered in weeks, not months—accelerating visible road fixes for residents
  • 117 roadway miles scanned with LiDAR, producing defensible condition scores and prioritized repair lists
  • Clear reports and maps helped Woodstock explain decisions, reduce complaints, and stretch taxpayer dollars

Problem

Woodstock, CT manages a large, rural road network that takes a beating from New England freeze–thaw cycles, making it hard to know which roads to fix first and when to schedule work. Without current, consistent data, the town lacked accurate paving budgets and struggled to create defensible plans, often defaulting to reactive maintenance. At town meetings, leaders were pressed with “Why not my road?” and had limited evidence to justify decisions, fueling 311 calls and resident frustration.

Solution

Woodstock chose Cyvl to rapidly survey and analyze its entire network using vehicle-mounted LiDAR and sensors, scanning 117 roadway miles with uniform, high-resolution coverage. Cyvl’s Infrastructure Intelligence platform used AI to convert raw scans into detailed, actionable pavement condition data, standardized scores, and segment-level insights. The town received prioritized repair lists, data-backed multi-year scenarios, and clear reports that made planning, budgeting, and communication faster and more defensible.

Impact

By August 26, 2022, Woodstock had network-wide condition scores and ready-to-use plans—delivered in weeks rather than months—so crews could act sooner. The town moved from reactive fixes to a proactive, transparent program that directs dollars where they deliver the most community benefit. Residents saw faster patching and paving on the highest-need corridors, fewer surprises, and clearer explanations of what’s next.

  • 117 roadway miles scanned with LiDAR and sensors, turning every segment into defensible condition scores and a prioritized repair roadmap
  • Weeks-to-delivery enabled faster scheduling and procurement, shrinking the time between data collection and on-the-ground improvements
  • Fewer 311 complaints and smoother town meetings as leaders answer “Why not my road?” with clear criteria, maps, and timelines
  • Budget allocation and work scheduling became extremely easy—data shows where each dollar improves network condition and extends pavement life
  • Crews fix hazardous segments sooner, improving safety and reducing flat tires, detours, and emergency repairs for residents
  • Transparent, data-backed plans help leadership defend funding requests and demonstrate efficient use of taxpayer dollars
No items found.