Book Description

This study was conducted to review the Pavement Condition Rating (PCR) methodology currently used by the Ohio DOT. The results of the literature search conducted in this connection are described ih thereport. An analysis of the PCR data collected by the ODOT in the past 11 years (1985-95) indicated that there were some distresses which were rarely observed in the past. The reasons for such occurrences and the use of this information to enhance the current system are discussed in the report. Statistical method known as: Classification Tree, was used to analyze the PCR data for (Ir)a ting the pavements, and (2) assigning the maintenance and/or rehabilitation (M & R) actions, when the distresses of the individual pavements were known. The results of this analysis indicated that due to non-linear nature of PCR, this model is able to assess the PCR better than the current linear model of estimating the PCR. An expert opinion survey was designed and conducted to collect data for developing new weights of pavement distresses using a combination of statistical methods: "Classification Tree" and "Proportional Odds Model". The PCR values obtained from new and old distress weights were compared and the results of these comparisons are discussed in the report. Statistical analysis of the PCR data for the year 1996 was performed to determine a suitable sample size which can be used to survey the network for collecting the PCR data of the network for Pavement Management purposes and selecting the pavements for inclusion in the annual M & R program of ODOT. This report contains recommendations for revising the list of distresses of each pavement type, developing a non-linear model to assess the pavement condition and M & R needs of a given pavement, a suitable sampling procedure for surveying the network and revising the definitions of some distresses of each pavement type.