TOPEKA, KS - SIDEWALK EVALUATION
Overview
TEE, in partnership with JEO consulting, leveraged AI expertise and machine-learning distress-analysis systems to objectively assess pavement conditions and identify priority replacement opportunities, Covering 700 miles of sidewalks. JEO utilized bicycles with trailers equipped with TEE’s data collection suite, including cameras, accelerometers, altimeters, and GPS trackers, to gather comprehensive data. This information was processed through TEE’s machine-learning program using ASTM pavement assessment guidelines. The final plan will rank sidewalk repair and new sidewalk connection projects based on safety, demand, access for disadvantaged citizens, and cost-effectiveness while outlining short and long-term funding strategies. By improving infrastructure, the plan will make Topeka safer, more connected, and pedestrian-friendly.
Sidewalk Evaluation
Data was collected on sidewalk cracks, surface damage, panel displacements, and both cross slopes and running slopes.
AI-Powered Detection System
TEE's Distress Detection System is trained on the ASTM Standard and can identify a wide range of distresses and features, including the extent and severity. This allows for the creation highly accurate and comprehensive condition indices for road, sidewalk, and asset networks.