By receiving detailed, actionable pavement condition data for all 94 roadway miles on September 9, 2024, Great Barrington moved from guesswork to a transparent, data-driven program residents can see.
Great Barrington faced growing maintenance needs across neighborhood streets, village center corridors, and rural connectors without current, consistent data to guide action. Leaders didn’t know which roads to fix or when, struggled to create accurate paving budgets, and lacked a clear prioritization method that residents could understand. Staff relied on manual windshield surveys that were slow, inconsistent, and left the town playing defense to 311 complaints and “Why not my road?” questions at meetings.
Great Barrington chose Cyvl to rapidly survey the entire network using vehicle-mounted LiDAR and sensors, capturing precise geometry and surface condition across 94 miles. Within weeks, Cyvl’s Infrastructure Intelligence platform applied AI to convert raw collection into pavement condition scores, network analytics, and scenario-based capital plans, with clear maps and exportable reports. The town received prioritized repair lists and defensible multi-year programs grounded in trustworthy data, enabling faster decisions, clearer communication, and immediate action after delivery on September 9, 2024.
By receiving detailed, actionable pavement condition data for all 94 roadway miles on September 9, 2024, Great Barrington moved from guesswork to a transparent, data-driven program residents can see. The faster turnaround—weeks instead of months—compressed the time between data collection and project implementation, putting crews on the right blocks sooner. With clear scores and defensible plans, budgets are easier to justify, public communication is more straightforward, and work can be scheduled with confidence.