Development of pavement condition index model using PAVER 6.5.7 for flexible pavement urban roads in Kerbala City

Abstract EN

The pavement condition index (PCI) is an important factor indicating pavement condition of roads.

The pavement is one of the basic parts of the road infrastructure.

Accordingly the aim of this paper is to develop a pavement condition index model using PAVER 6.5.7 for a flexible pavement urban roads in the Kerbala city center.

The development model is depending on the PCI value of 109 sample sections having 57.8 km length, Data collected for pavement distress (type, dimension, and severity) were used to find PCI.

The filtering and outlier analysis was done by using a polynomial (fourth-degree) constrained least squared for statistical process.

These processes were done by (PAVER 6.5.7) software.The result of the prediction model of PCI shows that it is valid to be used in the prediction of the condition of pavement for the same family type.