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Research on the Investigation of ΔV (Delta-V) for the Quality Improvement of Korean In-Depth Accident Study (KIDAS) Database

한국형 실사고 심층조사 데이터베이스 질향상을 위한 차량속도(ΔV) 측정방법에 관한 연구

  • 추연일 (충북대학교 대학원) ;
  • 이강현 (연세대학교 원주의과대학 응급의학과) ;
  • 공준석 (연세대학교 원주의과대학 대학원) ;
  • 이희영 (연세대학교 원주의과대학 응급의학과) ;
  • 전준호 (자동차안전연구원 결함조사실 사고분석팀) ;
  • 박종진 (서울과학수사연구소 이공학과 교통사고분석실) ;
  • 김상철 (충북대학교병원 응급의학과)
  • Received : 2020.02.19
  • Accepted : 2020.06.11
  • Published : 2020.06.30

Abstract

Modern traffic accidents are a complex occurrence. Various indicators are needed to analyze traffic accidents. Countries that have been investigating traffic accidents for a long time accumulate various data to analyze traffic accidents. The Korean In-Depth Accident Study (KIDAS) database collected damaged vehicles and severity of injury caused by Collision Deformation Classification code (CDC code), Abbreviated Injury Scale (AIS), and Injury Severity Score (ISS). As a result of the investigation, data relating to the injuries of the occupants can be easily obtained, but it was difficult to analyze human severity based on the information of the damaged vehicle. This study suggests a method to measure the speed change at the time of an accident, which is one of the most important indicators in the vehicle crash database, to help advance KIDAS research.

Keywords

References

  1. 자동차등록현황 국가통계포털 Available at: http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=
  2. Global status report on road safety 2018 WHO Available at: https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/
  3. 정희영, 2009, 교통사고조사 과학화 방안에 관한연구, 아주대학교 ITS 대학원.
  4. NHTSA, Field Crash Investigations 2016 Crash Investigation Coding and Editing Manual Version 5.
  5. Available at: https://www.gidas.org/en/about-gidas/gidas-methodik/[2019.02.12]
  6. Available at: http://www.itarda.or.jp/english/e_outline1.php[2019.02.12]
  7. Enforcement Rule of the Traffic Safety Act, 2013, Traffic Accident Investigation Report, Annex 11.
  8. H. Y. Lee, K. H. Lee, O. H. Kim, H. Youk, G. J. An, J. S. Kong, C. Y. Kang, Y. I. Choo, H. J. Kim, S. C. Kim, 2019, The Importance and Utilization Plan of Database Based on Actual Accident Investigation System in Korea, pp. 43-47.
  9. Enforcement Rule of the Road Traffic Act, 2013, Traffic Accident Investigation Report, Annex 21.
  10. Dinesh S, Seymour S, John B, Choi EH, 2007, "An Overview of NHTSA's Crash Reconstruction Software WinSMASH", ESV, Available at: https://pdfs.semanticscholar.org/153e/04cceea69c37a928670a1563e59744640419.pdf
  11. Nelson WD, 1981, The History and Evolution of the Collision Deformation Classification SAE J224 MAR80. SAE Technical Paper.
  12. U.S. Dept. of Transp. National Highway Traffic Safety Admin.,1998, Vehicle Measurement Techniques.
  13. Gabler, H.C, Hampton, C, and Roston. T, May 2003, "Estimating Crash Severity: Can Event Data Recorders Replace Crash Reconstruction?" Proceedings of the Eighteenth International Conference on Enhanced Safety of Vehicles, Paper No. 490, Nagoya, Japan.
  14. Available at: http://www.rec-tec.com/vector.html[2019.02.12]

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  1. Design for AEBS Test Scenario Applying Domestic Traffic Accidents vol.9, pp.4, 2020, https://doi.org/10.7236/ijasc.2020.9.4.1