Carpentersville, IL

The city now has current, trustworthy pavement condition data for every mile surveyed, plus a complete sign inventory that ties maintenance to safety outcomes residents can feel.

Date
May 13, 2025
Location
Carpentersville, IL

Carpentersville, IL Infrastructure Assessment

Summary

  • 96 roadway miles scanned in weeks, not months, enabling faster, safer repairs for residents
  • 5,708 signs inventoried to improve safety, compliance, and responsive maintenance
  • Actionable condition scores and defensible plans delivered by May 13, 2025, easing town meetings and reducing 311 pressure

Problem

Carpentersville’s street program relied on outdated and inconsistent data, making it hard to know which roads to fix and when, and leaving budgets based on estimates rather than facts. Without a clear prioritization method, the city was reactive to complaints and often had to defend choices in council meetings with limited evidence. Manual windshield surveys were slow and inconsistent, so by the time reports were compiled the information was already stale and crews were stuck in short-term fixes instead of a strategic plan.

Solution

Carpentersville chose Cyvl to rapidly capture citywide pavement and sign data using vehicle-mounted LiDAR and high-resolution sensors, surveying 96 roadway miles and inventorying 5,708 signs. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to generate network and block-level condition scores, prioritized repair lists, and defensible multi-year scenarios that align scope, budget, and crew capacity. Delivered on May 13, 2025, the city received detailed, actionable pavement condition data and map-based reports that make it simple to communicate plans and move from decision to action fast.

Impact

The city now has current, trustworthy pavement condition data for every mile surveyed, plus a complete sign inventory that ties maintenance to safety outcomes residents can feel. With clear scores, map-based justification, and budget scenarios, leaders can explain decisions in plain language and schedule work without delay. Because delivery happened in weeks rather than months, the time between data collection and project implementation shrank, so residents see improvements sooner.

  • Transparent, data-backed plans calm town meetings and help answer “Why not my road?” with objective scores and clear timelines
  • Faster pothole and surface repairs as crews act on prioritized repair lists the moment data is delivered
  • Safer streets thanks to maintenance plans informed by 5,708 inventoried signs and pavement conditions at the block level
  • Noticeably fewer 311 complaints as issues are addressed sooner and residents can see what’s scheduled next
  • Stronger budget defense and funding approvals with exact quantities, unit costs, and scenario analysis tied to taxpayer value
  • Crew scheduling and contractor coordination streamlined with GIS maps, condition layers, and ready-to-build work packages
  • More efficient allocation of taxpayer dollars by matching treatments to need and timing projects to minimize rework and disruption
  • Communications are simpler and more credible with public-facing maps and clear, consistent explanations rooted in current data
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