Thornton, CO - Pavement Evaluation and Management Plan
Overview
TEE, in partnership with DOT-US, completed pavement assessment and management software services for Thornton’s 421 center lane miles. TEE tracked street-level imagery, assets, and GPS data points through a high-resolution camera. These images were processed with TEE’s machine learning-based AI system, which accurately identified and classified over 40 different distress types.
Data Visualization
The collected data was visualized through a data dashboard, allowing for spatial interpretation and the ability to view individual distress identifications superimposed on downward facing imagery, along with simultaneous access to 360-degree imagery.
Management Plan
The data was exported in Esri-based formats to Hanson’s Decision Optimization Technology (DOT) asset management optimization software. By utilizing TEE's visualization dashboard alongside DOT, TEE delivered a highly optimized pavement management plan to the City, enabling efficient allocation of resources and maximizing return on investment.