Driving violations are one of the most important social issues in the world, especially in developing countries. Given the high rates of accidents, traffic accidents and human casualties in Iran, the factors affecting such violations will be significant. The purpose of this study is to investigate the factors affecting driving violations. The research approach is a combination (quantitative and qualitative) and is applied in a descriptive way. Using a descriptive survey method, using regression and fuzzy logic system (Fuzzy Sysytem) as one of the methods of artificial neural network The statistical population of the study includes all offenders who committed violations in one year period in 1397, which has 1450 records. In this research, the data are extracted from the data in the Navaji system. Regarding the P-VALUE level of the Watson camera test, it can be concluded that the variables in this model are regression of age, year of manufacture, education and fines (p