Improving the Quality of Pavement Performance Data in Pavement Management System

摘要

High-quality data are the presupposition for accurate analysis results. However, due to some inevitable errors, the quality of pavement performance data is low, which leads to great interference in maintenance decisions. In this paper, we first take a brief review of data quality control aspects and methods. Second, we offer a creative data quality control framework suitable for large scale use in pavement management systems. The framework consists of data preprocessing, data inspection, and data correction. Third, we use the rut depth data of a coastal highway as a case analysis to verify feasibility and effectiveness. Finally, we discuss future work.