Injuries Analysis and Interpretation of Standard Age and Sex in KIDAS Accident Statistics

KIDAS 사고 통계에서 표준 연령 남녀의 상해 분석 및 해석연구

Abstract

KIDAS (Korean In-Depth Accident Study) is a data structure of accident investigation type, vehicle breakage and human injury database. A consortium of research institutes, universities, and medical institutions has been established and operated. KIDAS has the strongest difference from the TAAS (Traffic Accident Analysis System), which is the data of the National Police Agency, that it can grasp the injury information of passengers. In this study, the mean age and weight of the most frequent accident types in the KIDAS accident statistics were calculated to determine the degree of injury according to gender. Through the MADYMO analysis, it is aimed to grasp the difference of dummy injury using commercial dummy models and scaling models are currently used.

Fig. 1 Patient age distribution at frontal collision in KIDAS

Fig. 2 Honda Accord vehicle sled model

Fig. 3 Dummy models (a) Hybrid 5^th%tile dummy (b) Scaling Female dummy (c) Hybrid 50^th%tile dummy (d) Scaling male dummy

Table 1 KIDAS data set

Table 2 Percentage of KIDAS accidents on collision directions

Table 3 Vehicle model year and KNCAP rating⁽⁸⁾

Table 4 Passenger injury level in frontal collision

Table 5 Percentage of safety devices usage

Table 6 Simulation matrix with usage of safety device

Table 7 Dummy Height and Weight

Table 8 Hybrid 5^thtile dummy KNCAP injury result

Table 9 Scaled Female dummy KNCAP injury result

Table 10 Hybrid 50^thtile dummy KNCAP injury result

Table 11 Scaled male dummy KNCAP injury result

Table 12 Hybrid 5^th%tile dummy 50.41 km/h injury result

Table 13 Scaled Female dummy 50.41 km/h injury result

Table 14 Hybrid 50^th%tile dummy 50.41 km/h injury result

Table 15 Scaled male dummy 50.41 km/h injury result