Morrow, GA

Morrow, GA Infrastructure Assessment

Summary

• 63 roadway miles scanned and analyzed in weeks, not months, enabling faster repairs for residents
• 1,488 signs inventoried and 1,137 right‑of‑way assets mapped (931 street lights, 206 traffic signals) to improve safety and reliability
• AI‑driven condition scores and defensible work plans delivered by May 30, 2024, giving leaders confidence and residents clear timelines

Problem

Morrow faced aging pavement and limited visibility into street conditions, with outdated or inconsistent data that left leaders unsure which roads to fix and when and made accurate paving budgets difficult. Without a defensible prioritization method, the city often fell into worst‑first and reacted to complaints, which stretched crews thin and disrupted efficient scheduling. At town meetings, leaders fielded constant "Why not my road?" questions and struggled to justify plans because the data behind decisions was incomplete.

Solution

The City of Morrow chose Cyvl to rapidly survey and analyze its network using vehicle‑mounted LiDAR and sensors, capturing high‑resolution data across 63 roadway miles to create a single source of truth. Delivered on May 30, 2024, Cyvl’s Infrastructure Intelligence platform applied AI to generate detailed pavement condition scores, prioritized repair lists, and clear, defensible work plans with actionable reports city staff could use immediately. The team also inventoried 1,488 signs and mapped 1,137 right‑of‑way assets—931 street lights and 206 traffic signals—tying each asset to location, condition, and maintenance needs so crews could act faster and more safely.

Impact

With current, high‑resolution data in hand, Morrow moved from reacting to complaints to executing a strategic, transparent paving and maintenance program grounded in objective scores. Work planning that once took months now happens in weeks, so residents see repairs sooner and experience fewer unexpected detours and hazards. The city can now communicate exactly what will be fixed, where, and why—supported by street‑level evidence—which builds trust and helps secure funding for projects residents care about.

• Weeks, not months, between survey and implementation, accelerating visible improvements across 63 miles of roadway
• Detailed, actionable pavement condition scores guide targeted repairs so residents see the highest‑need segments addressed first
• 1,488 signs cataloged, improving visibility, compliance, and safer travel for drivers, pedestrians, and school zones
• 931 street lights and 206 traffic signals mapped for targeted maintenance, reducing outages and improving nighttime safety
• Town meetings run smoother with transparent maps, photos, and data‑backed explanations for every project decision
• Budget requests, public updates, and crew scheduling are streamlined because leaders can point to current, defensible data