교통사고 유발 범칙행위의 벌점 및 범칙금 분류 연구

Abstract

The purpose of this study is to categorize penalty scores and fine based on a heavy dangerousness rate of traffic accidents. 137,995 traffic accidents data, with only one passenger in the vehicle, caused by 11 violation items during 2005-2009 were collected. They can be categorized to 3 penalty score groups and 5 fine groups followed in as current penalty rules through the K-Means cluster analysis method. The results were as follows. First, in penalty scores, 11violation items are categorized to 3 groups. Analysing result reveals that some items should be reclassified. Including signal violation, 7 items were up graded and using cell phone while driving was down graded. In fine, including the passing the center line, 6 items were up graded, and using cell phone while driving was down graded. Second, F test was conducted about the penalty score groups and fine groups respectively, there were significant differences between each groups. Third, a result of Spearman rank correlation analysis showed that there is very high correlations between penalty score groups and fine groups. As a whole, including the over speed(20-40km/h), 5 items were under estimated in the view of dangerousness, and using cell phones while driving is overestimated, so they should be assigned rationally than those of current. This study is expected to be a basic material to establish and to operate the traffic penalty score and fine policies.