With trustworthy data in hand on February 4, 2025, Guilford compressed the time between planning and construction so residents see improvements sooner.
Before this effort, Guilford lacked current, street-level condition data to make fast, defensible decisions. Manual windshield surveys and scattered records slowed planning, leaving potholes and pavement failures to linger longer than residents deserve and making town meetings contentious. Without a precise inventory of roadway conditions and signs, it was hard to prioritize corridors, justify budgets, or schedule construction crews with confidence.
To move faster, Guilford selected Cyvl to rapidly scan its network with vehicle-mounted LiDAR, cameras, and advanced sensors. In weeks, Cyvl delivered detailed, actionable pavement condition data for 1.8 roadway miles and a geolocated inventory of 29 signs through the Infrastructure Intelligence platform, which uses AI to turn raw measurements into construction-ready plans and reports. Delivered on 2025-02-04, the data gave city leaders a comprehensive, transparent plan for the scoped corridors that they could execute quickly, with clear timelines residents could trust.
With trustworthy data in hand on February 4, 2025, Guilford compressed the time between planning and construction so residents see improvements sooner. Crews can now schedule maintenance and paving weeks after receiving the data, not months, while leadership uses the maps and condition scores to explain choices and secure funding. By accelerating work and applying current design and safety standards, streets become safer for drivers, pedestrians, and cyclists across the covered corridors.