DOI QR코드

DOI QR Code

Modeling and Analysis of IGLAD Traffic Accident Case using Prescan for SOTIF Standard Development

SOTIF 표준 개발을 위한 Prescan 기반 IGLAD 교통사고 케이스 모델링 및 분석

  • Received : 2023.07.10
  • Accepted : 2023.08.17
  • Published : 2023.09.30

Abstract

Defects in the vehicle itself were considered the biggest risk factor for traffic accidents as the electrical and electronic components of vehicles, which were not there before, increase. Therefore, the vehicles have been developed based on ISO 26262 (an international functional safety standard) which is focusing on functional defect safety evaluation of electrical and electronic component systems. However, in the future, as autonomous driving technology is applied, even vehicles without functional defects must be prepared for the dangerous traffic situation that may arise from exceptional or external factors. SOTIF (Safety Of The Intended Functionality) is a concept to prevent exceptional or external factors. The main objective of SOTIF is to decrease Unknown & Unsafe factors as much as possible by finding Known factors and Unsafe factors. In this study, Prescan provided SIEMENS, one of the autonomous driving simulators, is used to make scenarios of IGLAD traffic accident cases. From the simulation results, Unsafe & Safe cases were classified and analyzed to derive unsafe factors.

Keywords

References

  1. ISO 26262, 2020 Road vehicles - Functional safety.
  2. ISO/PAS 21448, 2019.
  3. Society of Automotive Engineers [SAE], 2023, SAE J3016: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. Retrieved from https://www.sae.org/blog/sae-j3016-update.
  4. Ayoub, A. E. and Sobhani, M., 2019, Safety of the Intended Functionality: A Perspective on Standardization and Measurement for Highly Automated Vehicles, SAE International Journal of Transportation Safety, 7(2), 168~178.
  5. Jiang, Y., Dai, L. and He, H., 2020, "Formal Modeling and Analysis of Safety of the Intended Functionality for Autonomous Vehicles", IEEE Transactions on Intelligent Transportation Systems, 21(7), 3047~3056.
  6. Smith, J., Johnson, A. B. and Lee, C. D., 2020, Scenario- and Model-Based Systems Engineering Procedure for the SOTIF-Compliant Design of Automated Driving Functions, Journal of Autonomous Vehicles, 5(2), 123~135.
  7. 이지민, 2020, 자율주행자동차의 추돌 회피를 위한 교통사고분석 및 기계 학습 기반 위험 시나리오 생성연구, Transaction of KSAE, Vol. 28, No. 11, pp. 817~826. https://doi.org/10.7467/KSAE.2020.28.11.817
  8. IGLAD, IGLAD Codebook, http://www.iglad.net, 2020.
  9. 이환진, 2021, 안전속도 5030 정책수용도에 영향을 미치는 요인에 관한 연구, KSCE Journal of Civil and Environmental Engineering Research, Vol. 41, No. 5, pp. 559~569.
  10. 주두환, 2010, 자전거 신호등의 신호변환시간 산출에 관한 연구, 한국ITS학회논문지, 제9권, 제5호, pp. 59~66.
  11. 박순용, 2019, 횡단보행속도 실측에 기반한 VISSIM 보행자도로 서비스 수준 분석, 한국방송.미디어공학회 추계학술대회.
  12. SIEMENS Digital Industries Software, 2022, Simcenter Prescan Manual Version-2211.
  13. 김종혁, 2022, 긴급제동장치 작동 한계 특성에 대한 실험적 연구, 자동차안전학회지, 제 14권, 제 3호, pp. pp. 23-29. https://doi.org/10.22680/KASA2022.14.3.023