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100 <br />31 <br />x <br />°'a 70 <br />c <br />0 60 <br />=a <br />c 50 <br />U <br />d 40 <br />E <br />am <br />> 30 <br />a <br />20 <br />10 <br />Predicted <br />Measured <br />0 5 10 15 20 25 30 35 <br />Age since last Reconstruction, yrs <br />Figure 2. Example of pavement condition degradation curve prediction. <br />The tool utilizes the MS Excel Solver to estimate the regression coefficients of the curve. As <br />mentioned previously, if three pavement condition survey data points do not exist in the <br />pavement management data, default values are used. <br />Compute Quantities and Costs <br />The impacts in terms of additional bituminous material or lost pavement life must be converted <br />into estimated costs so that equivalent comparisons may be made among different heavy vehicle <br />scenarios. The tool reports cost in the following terms. <br />• Cost of additional bituminous material for the road segment <br />o Cost per square yard <br />o Cost for the entire segment (computed by width and length of the segment) <br />• Cost of consumed life (based on original construction cost) <br />o Cost for the entire segment <br />o Cost per lane -mile <br />o Cost per ESAL per lane -mile. <br />Report Results <br />The results are reported in the small window that contains the tool, and in the sheet "Report - <br />Segment" or "Report -Network" in the tool's spreadsheet. The Segment sheet reports the <br />following information. <br />• Analysis name (given by the user), <br />• Segment name, <br />21 <br />