With pavement condition scores and location-accurate maps for all 223 miles, Massillon can schedule work that residents see sooner.
Massillon’s public works team was relying on inconsistent, aging road and asset records, making it hard to know which streets needed attention and when. Without a clear, defensible prioritization method, the city often had to react to complaints and explain decisions at town meetings, which felt political and fueled 311 calls. With budgets under pressure and no accurate citywide inventory, leaders struggled to build a paving program they could confidently fund and schedule.
Massillon chose Cyvl to rapidly capture a full view of its streets using vehicle-mounted LiDAR and high-resolution sensors, surveying 223 roadway miles across the network. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to convert the scans into detailed, actionable pavement condition data, asset inventories, and map-based reports—delivered on July 26, 2024. The city received network-level condition scores, prioritized repair lists, and defensible multi-year plans, along with a complete inventory of 8,720 signs and 7,675 assets, so staff could make faster, better decisions and move work into the field.
With pavement condition scores and location-accurate maps for all 223 miles, Massillon can schedule work that residents see sooner. A verified inventory of 8,720 signs and 7,675 structures—4,483 catch basins and 3,192 manhole covers—helps crews improve safety, drainage, and coordination. Because the results were delivered in weeks by July 26, 2024, the city cut the lag between data collection and project implementation, improving service and stretching taxpayer dollars.