عنوان مقاله [English]
نویسندگان [English]چکیده [English]
System management and maintenance procedures asphalt pavement assess the current situation and predict their future according to the parameters affecting them. For this purpose, after completion of data collection models to predict the PCI index using the Marshall test results for Region 2 in Tehran have been developed. To estimate the PCI, the percentage of bitumen, Marshall Resistance, passing traffic and pavement age based on appropriate statistical tests and SPSS software were selected as the independent variable. Two separate methods were used for modeling, The first way is through the process of regression using SPSS software for analyzing the effect of each of the variables on the model output (sensitivity analysis) was used the results of the sensitivity analysis shows that the strength of the Marshall greatest impact directly on the index PCI. PSO algorithms and genetic algorithms to optimize the use and the optimal amount of each of the independent variables were obtained for the maximum index PCI.