Stow, MA

Stow, MA Infrastructure Assessment

Summary

• 70 roadway miles scanned with LiDAR in weeks, accelerating repairs for residents
• AI-powered condition scores and prioritized repair lists gave Stow a defensible, data-driven paving plan
• Delivered on October 18, 2024, enabling faster budget alignment, scheduling, and public communication

Problem

Stow, MA needed a clear, current picture of pavement conditions to keep up with resident expectations and seasonal construction windows across its neighborhoods. Outdated or inconsistent data made it hard to know which roads to fix or when, undermining confidence in project sequencing and budget requests. With no clear prioritization method, the team often found itself reacting to complaints and tough town‑meeting questions instead of executing a proactive, transparent plan.

Solution

Stow selected Cyvl to perform a rapid, full‑network survey using vehicle‑mounted LiDAR and sensors, scanning 70 roadway miles in a matter of weeks. Cyvl’s Infrastructure Intelligence platform used AI to transform the data into block‑by‑block pavement condition scores, geo‑located distresses, and prioritized repair lists tied directly to funding and work windows. The city received defensible plans and actionable reports—clear evidence that connected condition data to budgets, schedules, and communication—so staff could make decisions and act faster for residents.

Impact

By October 18, 2024, Stow had a complete, quality‑assured dataset and a paving program it could stand behind. The fast turnaround compressed the time between data collection and project implementation, letting the city move crews sooner and minimize disruption to residents. With comprehensive, detailed pavement condition data for all 70 miles, leaders can communicate tradeoffs, align budgets to need, and target work where it delivers the greatest public benefit.

• 70 roadway miles assessed in weeks, enabling repairs to begin faster and reducing the time residents wait for improvements
• Pavement condition scores and prioritized segment lists guide crews to the most critical locations first, improving safety and ride quality
• Map‑based reports make town meetings smoother by clearly answering “Why not my road?” with transparent, defensible data
• Data‑backed plans show efficient use of taxpayer dollars, strengthening budget requests and aligning spending to need
• Streamlined work scheduling and contractor scoping cut planning time, so potholes and surface failures are addressed sooner
• Fewer 311 complaints as issues are identified proactively and resolved before they escalate