This study investigates frontal crashes, analyzes the driver`s action related to the change of the collision direction and determines the severity of (bodily injury). This study was conducted from August, 2013, to January, 2014, and the data for the car damage and human body damage were collected by emergency medical teams. In terms of data collection, we collected the accident vehicle, crash direction, body damage, etc., based on the Korea In-depth Accident Study (KIDAS) and Injury Severity Score (ISS). We used Minitab 17 and SPSS 22.0 to do the frequency analysis and ANOVA. In the analysis results, the prevalence of frontal collisions was 55.8% and mostly occurred in the 12 o`clock direction. In the analysis of the frontal crash direction according to age, the average ages for the 11, 12 and 1 o`clock directions were
, respectively, so the older age drivers had a high probability of the accident occurring in the 1 o`clock direction. In the analysis of men`s frontal collision direction according to age, the average ages in the 11, 12 and 1 o`clock directions were
, respectively, so older aged men had a high probability of having collisions in the 1 o`clock direction. However, the statistical analysis of the frontal crash direction according to age in women didn`t show any meaningful trend. When comparing the ISS according to age of the men and women in the collision direction, the men were less likely to have a 12 o`clock collision when
and more likely to have a 1 o`clock collision when ISS<9. As a result, frontal crashes are more likely to occur in the 12 o`clock direction and the ISS decreases because the likelihood of frontal crashes in the 1 o`clock direction increases with increasing age. Therefore, when men recognize that they are heading for a 12 o`clock direction collision, they try to steer to the left to reduce the body damage.