Land use regression method is a common method for estimating the amount of air pollution. Distribution of concentrations of PM2.5 and PM10 pollutants was estimated using land use regression method at 137 points in linear paths in order to avoid excessive variance in Isfahan. Also, in order to normalize the raw data measured on different days, a correction coefficient was applied. Variables such as length of the road, equipment density and land use and meteorological parameters were used. In the process of modeling, algorithms were coded as a function in R software packages, and the LUR model was automatically created in R statistical software based on the selection of variables. The final LUR models have the following statistics:=0.41, =0.45, =0.41, =0.68) and PM2.5 and PM10 suspended particles in the warm season (=0.40,=0.48, =0.64, =0.60).