Salem, NH

Salem, NH Infrastructure Assessment

Summary

• 187 roadway miles in Salem, NH scanned and analyzed in weeks, with results delivered by July 11, 2022
• Actionable pavement condition scores and prioritized repair lists enabled faster, defensible work planning
• Residents experienced quicker fixes, safer streets, and clearer answers about what gets paved and why

Problem

Salem, NH faced mounting pressure from residents as freeze–thaw cycles accelerated pavement deterioration across busy corridors and neighborhood streets. Without current, consistent condition data, staff didn’t know which roads to fix or when and struggled to build accurate paving budgets. Reactive to complaints and relying on manual, inconsistent windshield surveys, leaders found it hard to justify actions in town meetings and defend plans with objective evidence.

Solution

To move quickly, Salem chose Cyvl to complete a network-level survey using vehicle-mounted LiDAR and advanced sensors across 187 roadway miles. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to convert raw scans into detailed, actionable pavement condition data, including segment-level condition scores and prioritized repair lists, delivered by July 11, 2022. With complete, defensible plans and clear reports, Salem’s team could schedule work, communicate decisions, and pursue funding with confidence.

Impact

With fast, data-rich results arriving in weeks instead of months, Salem transformed from reactive responses to proactive, data-driven planning. Objective pavement condition scores and prioritized segment lists across 187 miles gave the city a clear, defensible roadmap. Residents benefited as crews focused on the highest-need corridors first, communication improved, and projects moved from planning to implementation faster.

• 187 roadway miles surveyed, scored, and reported by July 11, 2022, creating a complete picture of pavement health
• Data delivered in weeks, not months, enabling immediate plan development, procurement, and faster field deployment
• Quicker fixes on high-need segments improved safety and reduced flat tires and detours for drivers
• Town meetings ran smoother with transparent maps and objective scores to explain “what gets paved and why”
• Fewer 311 complaints as work plans became clear and updates were grounded in unbiased data
• Budget requests and approvals were easier to defend, showing efficient use of taxpayer dollars and measurable outcomes
• Scheduling and resource allocation became straightforward, helping crews line up the right treatment at the right time across neighborhoods