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Pavement distress information is one of the most important inputs to a pavement management system. Each state developed its own procedure to collect pavement distress data, which resulted in the lack of standardization of distress measurements for pavement management. The full standardization of the pavement management system cannot be achieved without standardizing its input. In addition, there always exists an inconsistency among different raters when they are conducting visual distress surveys. The inconsistency among the raters seems to be a problem for most state highway agencies. The automated image processing technology could help develop a standard crack measure. This paper presents a standard crack density method using video images of pavement surfaces, which can be easily adopted by all fifty states for their network-level pavement management systems. The standard crack density can be automatically computed by dividing the number of crack pixels by the number of total pixels of the pavement surface using the existing image processing technique. The standard crack density is an objective, consistent, and repeatable measure of cracks.
Pavement Management Systems, Standard Crack Density, Visual Distress Survey, Pavement Distress, Image Processing, Automated Distress Measuring Device, Standardization
Assistant Professor, University of Utah, Salt Lake City, Utah