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Analysis of Intersection Accident Trend of Autonomous Emergency Braking system Vehicle based on Actual Accident

실사고 기반 자동긴급제동장치 차량의 교차로 사고 경향 분석

  • 신윤식 (국민대학교 대학원 기계설계학과) ;
  • 김문영 (국민대학교 대학원 자동차공학과) ;
  • 정재일 (국민대학교 기계공학부)
  • Received : 2022.12.02
  • Accepted : 2023.03.23
  • Published : 2023.03.31

Abstract

The purpose of this study is to predict how the actual accident changes by reconstructing the accident with an Autonomous Emergency Braking system (AEB) based on the actual accident of the LTAP-OD (Left Turn Crossing Path - Opponent Direction) intersection. A virtual AEB sensor was developed, and 150 head-on collision accident reports were secured to the insurance company to reconstruct the accident. As a result of the accident type analysis, a total of 13 types of head-on collision accidents were derived, and it is the LTAP-OD intersection accident with the highest frequency. In the LTAP-OD intersection accident, the simulation was conducted by applying the virtual AEB of each vehicle, the accident rate decreased by 90% or more when the AEB of the left-turn vehicle was applied, and the accident rate decreased by 50%. In addition, the most frequent collision types in LTAP-OD accidents were the front bumper on the driver's side of a vehicle going straight and the front bumper on the passenger's side of a vehicle turning left.

Keywords

Acknowledgement

This research was supported by a grant (code 22 AMDP-C161753-02) from R&D Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

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