DCPS began by capturing detailed aerial imagery of the campus using drone technology to produce a high-accuracy digital twin of the entire pavement system. This digital model was imported into an AI-driven pavement evaluation platform that automatically detected areas of distress and displayed them through a color-coded condition heat map.
Using these insights, our team worked directly with the client to select the appropriate repair types, designate repair years, and sequence each phase of work. This collaborative planning process resulted in a clear, data-driven five-year maintenance plan that provided complete transparency on scope, schedules, and expectations – ensuring the property could maintain safe, functional, and well-managed pavement surfaces for years to come.