Background and aims: Accidents (driving and work) have caused a lot of damage to the community, the organization, and the people. the related costs, while having bad Effects on the economic indicators at the national and family levels, are an obstacle to achieve the predetermined goals. This study examined the behavioral factors related to accident-prone behavioral in car drivers, and through this, provided a distinct and reliable indicator for identifying drivers at risk

Methods: The present research was a case-control study, which has been designed to predict the group membership (accident- pronoun drivers) and develop a cognitive equation to introduce the driver’s accident-proneness behavioral index. A demographic questionnaire and the Manchester Standard Driving Behavior questionnaire were used in the study which has been validated for the Iranian community. The data were processed in SPSS V20 using univariate and multivariate analysis of variance as well as two-group discriminant analysis methods.

Results: The drivers with a history of accidents showed higher levels of mistakes, slips, and intentional violations compared to the group without accidents. The two groups of drivers with and without a history of accidents were revealed to be at the same level in terms of committing inadvertent violations (committing illegal non-violent acts).
Conclusion: According to Eta (η) squares, one can say that 1-8% of the observed differences in two groups of drivers may be due to the accident history effect.