With current, defensible data across all 72 miles, Bedford shifted from reacting to complaints to executing a proactive, citywide plan. Delivery in weeks—not months—shortened the time between data collection and project implementation, so residents saw improvements sooner.
Before this project, Bedford was working from outdated and inconsistent pavement data, making it hard to know which roads to fix and when. Without clear, current information, budgets were difficult to defend and staff were often pulled into reactive responses to complaints. Manual assessments were slow and risky on busy corridors, and by the time reports were assembled the information had already aged.
Bedford selected Cyvl’s rapid, vehicle-based LiDAR and sensor survey to capture the full 72 miles of roadway and produce detailed, actionable pavement condition data. Cyvl’s Infrastructure Intelligence platform used AI to convert high-resolution scans into network-level condition scores, prioritized repair lists, and easy-to-share reports that support faster, better decisions. Delivered by October 25, 2023, the results gave Bedford a complete, defensible plan that leaders could use to schedule work, align budgets, and communicate clearly with residents.
The results were immediate. With current, defensible data across all 72 miles, Bedford shifted from reacting to complaints to executing a proactive, citywide plan. Delivery in weeks—not months—shortened the time between data collection and project implementation, so residents saw improvements sooner.