Model For Evaluating Road Economic Costs in a Short-Term Program Considering Traffic and Pavement Performance Indicators Using HDM-4
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Asphalt pavements are a valuable public asset whose preservation depends on the implementation of appropriate and timely infrastructure interventions considering the life cycle of materials through effective management tools. Highway maintenance and rehabilitation (M&R) strategies influence the evolution of pavement performance parameters, producing variations in total road economic costs. This study evaluates the effects of performance parameters on the variation of average annual road economic costs, generating predictive equations. For the sensitivity analysis, the Design of Experiments (DOE) statistical technique is used, in which the combination of factors and levels in the matrix cells represents traffic and pavement conditions simulated in HDM-4 through maintenance and rehabilitation strategies to estimate economic costs within a short-term program. The adjustment of sample data is performed using approximation functions (polynomials), obtained through multiple linear regression.
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