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Development of Safety Evaluation Scenarios for Autonomous Vehicle Tests Using 5-Layer Format(Case of the Community Road)

5-레이어 포맷을 이용한 자율주행자동차 실험 시나리오 개발(커뮤니티부 도로를 중심으로)

  • Park, Sangmin (Dept. of Transportation Eng., Ajou University) ;
  • So, Jaehyun(Jason) (Division for Smart City and Transport, The Korea Transport Institute) ;
  • Ko, Hangeom (K-City Management Team, Korea Automobile Testing & Research Institute) ;
  • Jeong, Harim (Dept. of Transportation Eng., Ajou University) ;
  • Yun, Ilsoo (Dept. of Transportation Eng., Ajou University)
  • 박상민 (아주대학교 건설교통공학과) ;
  • 소재현 (한국교통연구원 스마트시티 교통연구팀) ;
  • 고한검 (자동차안전연구원 자율주행실 K-City운영팀) ;
  • 정하림 (아주대학교 교통공학과) ;
  • 윤일수 (아주대학교 교통시스템 공학과)
  • Received : 2019.02.07
  • Accepted : 2019.03.19
  • Published : 2019.04.30

Abstract

Recently, the interest in the safety of autonomous vehicles has globally been increasing. Also, there is controversy over the reliability and safety about autonomous vehicle. In Korea, the K-City which is a test-bed for testing autonomous vehicles has been constructing. There is a need for test scenarios for autonomous vehicle test in terms of safety. The purpose of this study is to develop the evaluation scenario for autonomous vehicle at community roads in K-City by using crash data collected by the Korea National Police Agency and a text-mining technique. As a result, 24 scenarios were developed in order to test autonomous vehicle in community roads. Finally, the logical and concrete scenario forms were derived based on the Pegasus 5-layer format.

최근 전 세계적으로 자율주행자동차의 관심이 높이지고 있으며, 이에 따라 자율주행자동차의 안전성도 중요한 화두로 대두되고 있다. 국내에서도 자율주행자동차 실험도시인 K-City 구축 등 자율주행자동차 개발이 활발해짐에 따라, 자율주행자동차의 안전성을 평가할 수 있는 시나리오 개발이 필요한 시점이다. 본 연구에서는 경찰청 교통사고 데이터와 텍스트 마이닝 기법을 이용하여 K-City 커뮤니티부 도로 자율주행자동차 실험 시나리오를 개발하였다. 개발 결과, K-City 커뮤니티부 도로에서 자율주행자동차 실험을 위한 총 24개의 시나리오가 개발되었다. 또한, 페가수스 5-레이어 모형을 적용한 Logical 및 Concrete 혼합 시나리오 양식을 최종적으로 도출하였다.

Keywords

References

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