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.
Improving the Quality of Pavement Performance Data in Pavement Management System
19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China
CICTP 2019 ; 4274-4283
2019-07-02
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
SMART quality control analysis of pavement condition data for pavement management applications
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