Within weeks, Mendon moved from reactive troubleshooting to a confident, data-driven program that residents could see on the street.
Mendon’s public works team lacked current, consistent pavement data and relied on manual windshield surveys that produced uneven results. Without accurate condition scores or a clear inventory, it was difficult to build defensible paving budgets and work plans, and staff often had to play defense to 311 complaints and “Why not my road?” questions. The result was reactive maintenance and uncertainty in town meetings, with limited ability to prioritize projects and show efficient use of taxpayer dollars.
Mendon chose Cyvl to rapidly survey the entire street network using vehicle-mounted LiDAR and sensors, capturing high-resolution data across 57 miles. Cyvl’s Infrastructure Intelligence platform used AI to convert that data into detailed, actionable pavement condition scores, prioritized repair lists, and clear, defensible multi-year plans and reports. Delivered by August 29, 2023, the city received comprehensive, street-by-street insights that enabled faster, confident decisions and moved work from planning to implementation without delay.
Within weeks, Mendon moved from reactive troubleshooting to a confident, data-driven program that residents could see on the street. Crews scheduled targeted repairs sooner, while leaders communicated priorities and budgets with clarity. With 57 miles assessed and reported by August 29, 2023, the city cut the time from data collection to project implementation, accelerating safer, smoother travel for taxpayers.