Maintenance Costs Statistics for Urban Cars

Abstract

A central economic problem in urban traffic is the total maintenance costs (failure replacements and preventive maintenance), as an important competitive level. The paper has, as main result, the statistical analysis of the dependence between the traffic urban mileage and the total maintenance costs. The variation of these costs depending on the mileage is very useful for any driver and employer. The paper uses some statistical models to evaluate the possibilities of calculation the maintenance costs and their schedule. The most important working tool in the paper is the regression analysis between the independent variable—mileage (measured in kilometres) and the dependent one—the maintenance costs. This statistical function can be used for prognoses and schedules of maintenance costs. Another statistical practical applications used for data modelling are power fit, modified geometric, cubic and normal models; the traffic urban mileage, and respective maintenance costs, has an univariate normal distribution (Shapiro-Wilk test); the derived distribution of both variables is a bivariate Gaussian model (Henze-Zirkler and Royston tests). Numerical adequate examples for automotive operation were processed with specialised software.