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http://dx.doi.org/10.12652/Ksce.2012.32.6D.587

Correction of Latent Errors in Pavement Deterioration Data using Statistical Methods  

Han, Daeseok (Osaka 대학 토목공학전공)
Do, Myungsik (한밭대학교 도시공학과)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.32, no.6D, 2012 , pp. 587-598 More about this Journal
Abstract
Successful implementation of infrastructure asset management system can be started with rich and reliable data. However, measurement errors in the data have always existed in the real world caused for many unknown reasons. It disturbs maintenance activities of agencies, and makes negative effects to reliability of research results on forecasting deterioration process and life cycle cost. Above all, it makes a contradiction that road agencies cannot believe their inspection data surveyed by their hands. It is particularly serious in the road pavement management field. Although road agencies are well recognized the fact, inspecting without measurement error would be a great challenge. Considering the facts, this paper aimed to suggest statistical error processing methods to correct latent error included in pavement surface inspection data. As alternatives, this paper suggested two methods based on probability distribution to consider structure of error and reliability of the data. The suggested methods were empirically tested by using pavement inspection data from Korean National Highway. As the result, this paper confirmed that conventional error processing that just removes only visible errors is not enough to cover uncertainty in pavement deterioration process. The suggested methods would be useful for improving reliability of analysis results required for road infrastructure asset management.
Keywords
road infrastructure asset management; pavement inspection data; inversed condition; latent error; korean national highway;
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Times Cited By KSCI : 3  (Citation Analysis)
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