North Haven, CT

North Haven, CT Infrastructure Assessment

Summary

• 133 roadway miles scanned with LiDAR in weeks, giving North Haven a current, complete picture of street conditions
• AI-driven condition scores and prioritized repair lists delivered by April 30, 2025, accelerating visible fixes for residents
• Data-backed, defensible paving plan that improves safety, reduces complaints, and uses taxpayer dollars efficiently

Problem

North Haven’s pavement data was outdated and inconsistent, which made it hard to know which roads to fix or when and left leaders without a solid basis to defend paving budgets. Public Works was often reactive to complaints and spent time answering “Why not my road?” at town meetings instead of working from a clear prioritization method. Manual windshield surveys were slow and the findings were outdated by the time reports were ready, limiting the city’s ability to make informed decisions and act fast for the community.

Solution

To move from reactive to proactive, North Haven chose Cyvl to rapidly survey its network with vehicle-mounted LiDAR and sensors, capturing 133 roadway miles with high fidelity in weeks. Cyvl’s Infrastructure Intelligence platform used AI to turn this into detailed, actionable pavement condition data for the miles of roadway in the project, including condition scores, prioritized repair lists, and cost scenarios. Delivered by April 30, 2025, the city received defensible plans, transparent maps, and ready-to-use reports that enable better decisions and faster action.

Impact

With a clear view of every segment, North Haven can schedule resurfacing, patching, and preventive maintenance earlier and with confidence, reducing hazards and delays for drivers, cyclists, and school buses. The city converted fresh data into an actionable, multi-year paving program in weeks instead of months, so residents see improvements sooner each construction season. Transparent condition scores and project lists streamline public communication, support funding requests, and shorten the time from data collection to project implementation.

• Faster infrastructure improvements for residents because planning moved from months to weeks, with work scheduled sooner each season
• Quicker response to community needs using objective condition scores and targeted maintenance lists focused on the most critical corridors
• Smoother town meetings and fewer “Why not my road?” questions thanks to clear maps, criteria, and schedules everyone can see
• Reduced 311 complaints as residents receive data-backed timelines and understand why each project happens and when
• More efficient use of taxpayer dollars, with a defensible plan that aligns spending to need and supports budget approvals
• Data across 133 miles improves grant applications and makes it easier to justify investments that improve safety and ride quality
• Crews execute work plans faster and safer, minimizing detours and fixing pothole-prone areas before they spread