National Airport Pavement Test Facility Construction Cycle 9 Report

Final report DOT/FAA/TC-25/36 Development of Serviceability Level (SL) Index Model for Extended Airport Pavement Life has been published. This report documents analysis of extended airport pavement life (EAPL) data to calculate key pavement indexes contributing to overall serviceability level (SL) and to explore their relationships with factors like weather, traffic, material properties, and pavement structure. Machine learning (ML) models were developed to predict the SL index for both flexible and rigid airport pavements. The SL model is structured as a classification ML task, aiming to classify the runway pavement as either serviceable or unserviceable, based on a set of pavement condition indexes including pavement condition (structural and non-structural), runway roughness, and groove condition.

David Brill | ANG-E262