Publisher： Edp Sciences
E-ISSN： 2261-236x|139|issue|00084-00084
ISSN： 2261-236x
Source： MATEC Web of conference, Vol.139, Iss.issue, 2017-12, pp. : 00084-00084
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Abstract
Judging from the current situation of Chinese highway maintenance,only after there is highway distress would the staff have a repair, that results in the poor efficiency of highway maintenance. In order to improve the efficiency of highway maintenance,this paper will use data mining technology to predict the pavement performance of highway and analyze the main factors of pavement performance attenuation,so that the preventive maintenance can be carried out.We will provide data support to the preventive maintenance of highway by using the isolation Forest anomaly detection algorithm to have a data pretreatment, the regression model and time series GM (1,1) model to predict the pavement performance and the association rule analysis and isolation Forest to analyze the main factors of pavement performance attenuation.
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