ABSTRACT
China often uses equal length sections as the basic unit for section classification, which may lead to the value of PCI (Pavemant Surface Condition Index) is out of line with the actual, causes problems such as waste of maintenance resources or deterioration in the quality of pavement use, based on the principle of ordered clustering and the concept of loss function in Fisher's algorithm, the Fisher optimal. The method of combination of Fisher optimal partition and traditional ordered clustering analysis is applied to road segmentation. The statistical matrix of disease types is used as the variable index, and the error function of class diameter is defined between the indexes to discriminate the optimal division, and the second-order difference statistics method of ordered clustering applicable to pavements is proposed to determine the optimal classification number, and the classification results are further improved according to the characteristics of cement concrete pavement maintenance in China. Through the comparison of testing and validation analysis of engineering examples, the pavement classification method based on ordered clustering unequal division can more accurately reflect the local changes of cement concrete pavement damage condition and provide a more scientific basis for the decision of cement concrete pavement maintenance scheme.
