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A Study on the Accident Reconstruction Simulation about AEBS of ADAS Vehicle using Prescan

Prescan을 활용한 ADAS 차량의 AEBS에 대한 사고 재현 시뮬레이션 연구

  • 김종혁 (국립과학수사연구원 교통과) ;
  • 이재형 (국립과학수사연구원 교통과) ;
  • 김송희 (국립과학수사연구원 교통과) ;
  • 최지훈 (국립과학수사연구원 교통과) ;
  • 전우정 (국립과학수사연구원 교통과)
  • Received : 2023.07.08
  • Accepted : 2023.10.04
  • Published : 2023.12.31

Abstract

In recent years, the technology for autonomous driving has been advancing rapidly, ADAS (Advanced Driver Assistance System) functions, which improve driver convenience and safety performance, are mostly equipped in recently released vehicles and range from level 0 to level 2 in autonomous driving technology. Among the various functions of ADAS, AEBS (Autonomous Emergency Braking System), which analyzes traffic accidents, is the most closely related to the vehicle's braking. This study developed a simulation technique for reproducing accidents related to AEBS based on real vehicle experimental data, and it was applied to the analysis of actual ADAS vehicle accidents to identify the causes of accidents.

Keywords

Acknowledgement

이 논문은 행정안전부 주관 국립과학수사연구원 중장기과학수사감정기법연구개발(R&D)사업의 지원을 받아 수행한 연구임(NFS2023TAA01).

References

  1. J. Hwang, 2020, "Trend of Sensor Technology for Autonomous Driving," Auto Journal, pp. 18~21.
  2. SAE On-Road Automated Vehicle Standards Committee, 2018, "Taxonomy and Definitions for Terms Related to On-road Motor Vehicle Automated Driving Systems," SAE Standard J3016.
  3. J. B. Cicchino, 2017, "Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates," Accident Analysis and Prevention, Vol. 99, pp. 142~152. https://doi.org/10.1016/j.aap.2016.11.009
  4. E. R. Teoh, 2021, "Effectiveness of front crash prevention systems in reducing large truck realworld crash rates," Traffic Injury Prevention, Vol. 22. No. 4, pp. 284~289. https://doi.org/10.1080/15389588.2021.1893700
  5. Y. Choi, S. Kim, J. Jung, and J. Yoon, 2017, "A Study on the Applicability of AEBS according to Radar Angle Using PC-Crash and Traffic Accident Database," Transaction of the Korean Society of Automotive Engineers, Vol. 25, No. 6, pp. 691~ 701. https://doi.org/10.7467/KSAE.2017.25.6.691
  6. S. Baek, C. Kim, J. Kim, H. Park, and J. Lim, 2021, "Development of AEBS Simulation Model for Traffic Accident Analysis of Vehicle with ADAS," Transaction of the Korean Society of Automotive Engineers, Vol. 29, No. 11, pp. 995~1001. https://doi.org/10.7467/KSAE.2021.29.11.995
  7. J. Kim, H. Han, S. Kim, J. Choi, J. Park, and H. Park, 2022, "A Study on the AEBS Operation Simulation Using Prescan Based on the Vehicle Test," Transaction of the Korean Society of Automotive Engineers, Vol. 30, No. 3, pp. 249~257. https://doi.org/10.7467/KSAE.2022.30.3.249
  8. J. Kim, J. Choi, J. Park, J. Park, and H. Park, 2022, "An Experimental Study on the Operating Limit Characteristics of Autonomous Emergency Braking System," Journal of Auto-Vehicle Safety Association, Vol. 14, No. 3, pp. 23~29.
  9. EuroNCAP AEB Test Protocol, 2021, "Test Protocol-AEB Car to Car Systems".