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http://dx.doi.org/10.22680/kasa2019.11.1.030

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

Park, Jiyang (한국기술교육대 메카트로닉스공학과)
Youn, Younghan (한국기술교육대 메카트로닉스공학과)
Publication Information
Journal of Auto-vehicle Safety Association / v.11, no.1, 2019 , pp. 30-35 More about this Journal
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.
Keywords
KIDAS; Injury; Standard age; Accident;
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  • Reference
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