With data delivered by June 11, 2024, Oak Brook moved from guesswork to a data-driven program that residents can see on the street.
Oak Brook’s public works team was managing a busy road network with outdated and inconsistent street condition data, making it hard to see a current, complete picture of pavement health. Without trustworthy information, they struggled to decide which roads to fix and when, and town meetings often turned into defending choices as residents asked, “Why not my road?” The team was forced to react to complaints and could not confidently show efficient use of taxpayer dollars or present a clear, defensible prioritization method.
Oak Brook chose Cyvl to rapidly survey the entire street network using vehicle-mounted LiDAR and sensors, capturing high-resolution pavement data across 53 miles. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to convert raw measurements into network-wide condition scores, prioritized repair lists, and scenario-based, defensible paving plans and reports. The city received detailed, actionable pavement condition data by June 11, 2024, enabling leaders to communicate clearly, make faster decisions, and deploy crews to the right locations sooner.
With data delivered by June 11, 2024, Oak Brook moved from guesswork to a data-driven program that residents can see on the street. The city gained street-level condition scores for 53 miles and a clear plan that aligns budget, work schedules, and community priorities. Because the insights arrived in weeks instead of months, crews could line up materials and address the most critical needs sooner, shortening the time between assessment and repairs.