Brighton, CO

Brighton, CO Infrastructure Assessment

Summary

• 221 roadway miles surveyed and scored with LiDAR, giving Brighton a current, defensible street condition baseline by February, 25, 2025
• 10,168 signs inventoried to improve safety, compliance, and maintenance scheduling
• Fast, AI-driven results delivered in weeks, enabling quicker repairs, fewer potholes, and better use of taxpayer dollars

Problem

Brighton’s team lacked current, consistent pavement and asset data, making it hard to know which roads to fix or when, and nearly impossible to forecast accurate paving budgets. Without a clear, transparent prioritization method, the city often found itself reacting to 311 complaints and answering “Why not my road?” in council and town hall meetings. This reactive posture slowed projects, eroded trust, and made it difficult to show efficient use of taxpayer dollars.

Solution

To change this, Brighton selected Cyvl to rapidly survey the entire network with vehicle-mounted LiDAR and sensors, capturing 221 roadway miles and high-resolution data on pavement and roadside assets. Cyvl’s Infrastructure Intelligence platform used AI to convert those scans into detailed pavement condition scores, a prioritized and defensible repair list, and ready-to-share maps and reports. The city received actionable, street-level plans in weeks, enabling staff to build comprehensive annual and multi-year programs faster and communicate decisions clearly to residents and council.

Impact

By February, 25, 2025, Brighton had a complete, data-driven picture of its streets and signs and could move from reacting to complaints to executing a plan. The city now ties budget requests and work schedules to objective scores across 221 miles, increasing credibility and accelerating approvals. With 10,168 signs inventoried, safety and compliance work is organized, and crews can target high-risk locations sooner.

• Faster pothole response and resurfacing because planning and scheduling start immediately after data delivery
• Fewer 311 complaints as residents see transparent maps, timelines, and the rationale behind project choices
• Town meetings run more smoothly with clear, defensible criteria for selecting and sequencing projects
• Budget allocation is easier and faster because every dollar is linked to condition scores and lifecycle impact
• Crews spend less time scouting and more time fixing, improving safety and reducing vehicle damage for residents