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Jul 2, 2019
Improving the Quality of Pavement Performance Data in Pavement Management System
Authors: Jialing Jiang [email protected], Fujian Ni [email protected], Qiao Dong [email protected], and Linyi Yao [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
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.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Dept. of Transportation, Southeast Univ., No. 2, Southeast University Rd., Nanjing, China. E-mail: [email protected]
Dept. of Transportation, Southeast Univ., No. 2, Southeast University Rd., Nanjing, China. E-mail: [email protected]
Dept. of Transportation, Southeast Univ., No. 2, Southeast University Rd., Nanjing, China. E-mail: [email protected]
Dept. of Transportation, Southeast Univ., No. 2, Southeast University Rd., Nanjing, China. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.