The main aim of this study is to investigate whether and how demographic and cognitive variables concur together in predicting driving performance along with the driver’s lifespan. A second aim of the study is to evaluate if the first order’s interaction between demographic predictors (i.e., age, sex, and level of education) and cognitive predictors (i.e., overall functioning and spatial transformation skills) could provide a better prediction model on driving outcomes (i.e. a computerized evaluation of the driving fitness) than the main effects of each predictor. It was hypothesized that the performance at the computerized driving test would be predicted by the age group and overall cognitive functioning. Furthermore, it was hypothesized gender differences over and above age in reaction tasks and visuospatial skills. Finally, it was hypothesized that the first-order interactions between the demographic and cognitive predictors would provide a better prediction model of fitness to drive than the model that considers the direct effects of predictors on driving measures.