Within weeks, Bethany Beach received a complete, defensible picture of roadway conditions and assets—on time by June 16, 2025—so crews could move from assessment to action without waiting months.
Bethany Beach faced rapid wear from coastal weather and seasonal traffic, but leaders lacked reliable, current pavement data to decide which streets to fix and when. Outdated and inconsistent records, plus manual spot checks, made it hard to build a defensible paving plan or set accurate budgets, leading to uncertainty and delays. Staff were forced to play defense to resident complaints—constantly asked “Why not my road?”—without clear, objective evidence to explain priorities.
City leadership chose Cyvl to rapidly survey all public streets using LiDAR and advanced sensors, capturing pavement condition and street-level assets in days. Cyvl’s Infrastructure Intelligence platform used AI to convert this data into detailed condition scores, prioritized repair lists, and ready-made reports that leaders could use immediately to plan and communicate. Alongside pavement analytics for 25 miles, the city received a full, geospatial inventory of 6,930 assets—including 2,191 signs, 751 sidewalk segments, 924 street lights, and 517 utility poles—enabling targeted safety and accessibility upgrades residents will see on the ground.
Within weeks, Bethany Beach received a complete, defensible picture of roadway conditions and assets—on time by June 16, 2025—so crews could move from assessment to action without waiting months. The city used the condition scores and repair recommendations to schedule near-term fixes and plan multi-year investments, improving safety and reducing disruption for residents and visitors. With trustworthy, consistent data, leaders now explain priorities clearly, defend budgets with confidence, and respond faster to community needs.