Inspection of Asphalt Concrete Pavement Deterioration Using Smartphone-Based Sensors

Abstract

This article presents the application of smartphone sensors for assessing pavement deterioration. A smartphone was mounted on a test vehicle to measure sensor signals while driving over asphalt concrete pavements with various types of damage. The study details the installation process, signal filtering and processing techniques, and an approach for estimating the length of deteriorated pavement. The findings indicate that the proposed method can accurately detect pavement damage in alignment with actual field conditions, with estimation errors for damaged pavement length ranging from 9% to 51%. The findings serve as preliminary data for the development of cost-effective and efficient road condition monitoring technologies, contributing to enhanced safety and reliability of road networks.