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다중추돌사고의 재구성 해석: 경험적/해석적 방법과 영상사고기록장치 활용

Reconstruction Analysis of Multi-Car Rear-End Collision Accidents: Empirical/Analytical Methods, and Application of Video Event Data Recorder

  • 한인환 (홍익대학교 기계정보공학과)
  • Han, In-Hwan (Mechano-Informatics and Design Engineering, Hongik University)
  • 투고 : 2012.01.25
  • 심사 : 2012.03.19
  • 발행 : 2012.04.30

초록

다중추돌사고의 형태는 연쇄 추돌이라고 불리우는 뒤로부터의 순차적인 추돌과 앞으로부터의 순차적인 추돌, 그리고 순서가 섞여 있는 추돌형태로 구분된다. 다중추돌사고에 대하여 몇가지 효과적인 재구성 해석 방안을 제시한다. 브레이크 다이브 등으로 인한 차량 파손과 승객 부상을 활용하는 전통적인 경험적 수법과 강체역학 범주내에서의 이론적인 해석 결과를 구하여 당장에의 실용적인 적용이 가능하도록 하였다. 국내에 보급이 확산되고 있는 영상사고기록장치를 활용하고 시뮬레이션 프로그램 등을 병행 활용하여 다중추돌사고를 효과적으로 해석하는 방안을 제시하였다. 저장 동영상에 대한 단순 직관적인 조사를 넘어설 수 있도록 동영상 분석 결과에 근거한 시뮬레이션 해석을 수행하여 다중추돌사고에 대한 구체적이고 다양한 정보의 획득을 가능하게 하여 원인 규명 및 책임 소재 등을 명확하게 구분할 수 있도록 하였다.

Multi-car rear-end collision accidents have three categories: sequential collision from the rear which is commonly referred to as chain reaction collision, sequential collision from the front, and mixed-order collision. This paper suggests several effective methods of reconstruction analysis for multi-car rear-end collision accidents. First, by incorporating the traditional empirical method which uses vehicle damage caused by brake dive and passenger injuries, with results of theoretical analysis made within mechanics of rigid body, it is made possible for the method to be put to immediate practical use. A methodology to precisely analyze multi-car rear-end collision accidents was suggested using a simulation program simultaneously with a video event data recorder which is starting to be widely used in domestic vehicles. To go beyond the simple intuitive analysis of the video event data recorder, the simulation analysis based on the results of video analysis was executed to acquire various information, so that the causes and responsibility could be clearly stated.

키워드

참고문헌

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피인용 문헌

  1. A Study on the Analysis of Driver Behavior in Traffic Accidents Using Driving Video Recorder vol.35, pp.6, 2015, https://doi.org/10.12652/Ksce.2015.35.6.1321
  2. Car speed estimation based on cross-ratio using video data of car-mounted camera (black box) vol.269, 2016, https://doi.org/10.1016/j.forsciint.2016.11.014
  3. Scenario establishment and simulation analysis for multiple-car rear-end collision accidents 2017, https://doi.org/10.1177/0954407016684474
  4. A Reliable Study on the Accident Reconstruction using Accident Data Recorder vol.14, pp.5, 2014, https://doi.org/10.7236/JIIBC.2014.14.5.179
  5. Analysis of Multi-Car Rear-End and Chain Reaction Collision Using EDR vol.27, pp.2, 2019, https://doi.org/10.7467/KSAE.2019.27.2.101
  6. 블랙박스 영상 분석을 통한 차량 충돌 속도 연산 알고리즘에 대한 융복합 연구 vol.16, pp.9, 2012, https://doi.org/10.14400/jdc.2018.16.9.173