Proposal of the efficient method on pavement structural evaluation using moving wheel deflectometer and machine learning

Abstract

It has been important to evaluate pavement structure, and MWD has been developed. MWD can acquire deflection data with short period, but data processing method has not been developed so much. However, it is expected to process MWD data and evaluate road network soundness by machine learning. This research uses Isolation Forest and proposes the evaluation method to detect the section with larger deflection that pavement structure might be damaged. The experiment shows the proposed method can evaluate pavement soundness as the previous methods do, and it is more efficient. The combination of MWD and the proposed method leads more efficient pavement structure evaluation.