The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Traffic Accidents Scenarios Based on Autonomous Vehicle Functional Safety Systems

자율주행차량 기능안전 시스템 기반 사고 시나리오 도출

  • Heesoo Kim (Dept. of Urban Eng., Chungbuk National University) ;
  • Yongsik You (Dept. of Urban Eng., Chungbuk National University) ;
  • Hyorim Han (Dept. of Urban Eng., Chungbuk National University) ;
  • Min-je Cho (Police Science Institute, Korea National Police University) ;
  • Tai-jin Song (Dept. of Urban Eng., Chungbuk National University)
  • 김희수 (충북대학교 도시공학과) ;
  • 유용식 (충북대학교 도시공학과) ;
  • 한효림 (충북대학교 도시공학과) ;
  • 조민제 (경찰대학 치안정책연구소) ;
  • 송태진 (충북대학교 도시공학과)
  • Received : 2023.11.20
  • Accepted : 2023.12.15
  • Published : 2023.12.31
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Abstract

Unlike conventional vehicle traffic accidents, autonomous vehicles traffic accidents can be caused by various factors, including technical problems, the environment, and driver interaction. With the future advances in autonomous driving technology, new issues are expected to emerge in addition to the existing accident causes, and various scenario-based approaches are needed to respond to them. This study developed autonomous vehicle traffic accident scenarios by collecting autonomous driving accident reports, CA DMV collision reports, autonomous driving mode disengagement reports, and autonomous driving actual accident videos. The scenarios were derived based on the functional safety system failure modes of ISO 26262 and attempted to reflect the various issues of autonomous driving functions. The autonomous vehicle scenarios derived through this study are expected to play an essential role in preventing and preparing for various autonomous vehicle traffic accidents in the future and improving the safety of autonomous driving technology.

자율주행차량 사고는 일반차량 사고와 다르게 기술적 문제, 환경, 운전자와의 상호작용 등 다양한 요인에 기인한 사고 발생 가능성이 존재한다. 향후 자율주행 기술의 진보로 기존의 사고원인 이외에도 새로운 이슈들이 대두될 것으로 예상되며, 이에 대응하기 위한 다양한 시나리오 기반의 접근법이 필요하다. 본 연구에서는 자율주행 사고 리포트인, CA DMV collision report와 자율주행모드 해제 보고서인 Disengagement report, 자율주행 실제 사고영상을 수집하여 자율주행차량 교통사고 시나리오를 개발하였다. 시나리오는 ISO 26262의 기능안전 시스템 failure mode에 기반하여 도출되었으며, 자율주행 기능의 다양한 이슈를 반영하고자 하였다. 본 연구를 통해 도출된 자율주행차량 시나리오는 향후 다양한 자율주행차량 교통사고 예방과 대비에 기여할 뿐만 아니라 자율주행 기술의 안전성을 향상시키는 데 중요한 역할을 할 것으로 기대한다.

Keywords

Acknowledgement

This work was supported by a Korea Institute of Policy Technology (KIPoT) grant funded by the Korea government (KNPA, Korean National Police Agency) (No. 092021D74000000), Development of a data extraction and analysis system for DSSAD (Data Storage System for Automated Driving).

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