New Haven, CT

New Haven, CT Infrastructure Assessment

Summary

• 240 roadway miles surveyed and analyzed in weeks, giving New Haven a clear, defensible paving roadmap that speeds fixes for residents
• AI-driven condition scores and repair priorities turned confusion into confident, proactive decisions that cut delays
• Delivery on March 20, 2024 empowered earlier bids and scheduling, reducing costs and getting crews onto the right streets faster

Problem

New Haven’s road program was hampered by outdated and inconsistent pavement data, making it hard to know which roads to fix and when. Without a reliable, citywide picture, the team struggled to build defensible paving budgets and plans, and faced tough questions in council and community meetings. Staff were forced to react to 311 complaints and perform manual windshield surveys—slow, unsafe, and expensive—leaving residents waiting while conditions worsened.

Solution

To change this, New Haven chose Cyvl to rapidly survey the entire network using vehicle-mounted LiDAR and advanced sensors, capturing objective conditions across 240 roadway miles. Cyvl’s Infrastructure Intelligence platform used AI to process the data and deliver street-level Pavement Condition Index (PCI) scores, deterioration insights, and easy-to-share reports and maps. Delivered in weeks by March 20, 2024, the city unlocked prioritized repair lists, scenario-based funding plans, and defensible, data-driven work programs it could move on immediately.

Impact

With complete, current intelligence on every mile surveyed, New Haven moved from reactive fixes to proactive maintenance its leaders could explain and defend. The city turned data into a season-ready paving plan, scheduled crews earlier, and communicated timelines and trade-offs to residents with clear visuals. Weeks-not-months delivery shortened the gap between assessment and construction, meaning safer, smoother streets for drivers, cyclists, buses, and emergency vehicles.

• 240 roadway miles scanned with LiDAR and high-resolution sensors, producing segment-level PCI scores, GIS layers, and repair recommendations residents can see translated into work on their streets
• Delivered on March 20, 2024, enabling earlier bid packages and construction scheduling, which reduces downtime and speeds visible improvements
• Transparent, data-backed plans cut 311 complaints and make public meetings smoother by answering “Why not my road?” with facts
• Crews can target the highest-need corridors first, fixing hazards faster and improving safety for everyone who travels city streets
• Stronger, defensible budget requests based on current conditions demonstrate efficient use of taxpayer dollars and help secure funding
• Day-to-day planning is easier—budget allocation, public communication, and work scheduling flow from one source of truth