Predicting driving error, lapses and violations from personality characteristics and Vienna Risk Taking test-Traffic

The aim of this study was to predict driving error, lapses and violations from five narrow-band personality traits of Eyseneck Personality Profile, Vienna Risk Taking test-Traffic and Considering Future Consequences Scale. Current study is a relational study. 510 drivers Was selected randomly and divided to two groups accident namely prone(n=257) and non accident prone(n=253).Participants responded to following instruments Eyseneck Personality Profile(EPP) Eyseneck and Wilson (1991),Scale of Considering Future Consequences (Strathman et al,1994), Driving Behavior Questionnaire(Lawton,1997) and WRBTV(Hergovich et al,2005). Finding indicated that characteristics of two groups have significant differences according to driving error, lapses and violations, Also there are significant relations among these variables and three wrong driving behavior of participants. Organizations can decrease accident rate by selecting drivers according to applicant (of the job driver) characteristics especially by using WRBTV as an efficient instrument to find drivers deficiencies.