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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Derivation of Assessment Scenario Elements for Automated Vehicles in the Expressway Mainline Section

자율주행차 평가 시나리오 구성요소 도출: 고속도로 본선구간을 중심으로

  • Ko, Woori (Dept. of Transportation Eng., Univ. of Ajou) ;
  • Yun, Ilsoo (Dept. of Transportation System Eng., Univ. of Ajou) ;
  • Park, Sangmin (Dept. of Road Transport, Korea Transport Institute) ;
  • Jeong, Harim (Dept. of Transportation Eng., Univ. of Ajou) ;
  • Park, Sungho (Dept. of Transportation Eng., Univ. of Ajou)
  • 고우리 (아주대학교 교통공학과) ;
  • 윤일수 (아주대학교 교통시스템공학과) ;
  • 박상민 (한국교통연구원 도로교통연구본부) ;
  • 정하림 (아주대학교 교통공학과) ;
  • 박성호 (아주대학교 교통공학과)
  • Received : 2021.12.06
  • Accepted : 2022.01.12
  • Published : 2022.02.28
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Abstract

Various elements such as geometry, traffic safety facilities, congestion level, weather, etc., need to be appropriately reflected in the assessment scenario evaluating the driving safety of automated vehicles. Therefore, this study first established a scenario structure and defined the layer of elements, to derive the elements to be reflected in the automated driving safety evaluation. After that, all elemental candidates that can be reflected in each layer were derived by reviewing the relevant literature. Finally, as a result of an expert survey, 77 items were selected to be reflected in the automated driving safety evaluation. The selected elements are expected to be actively utilized in developing scenarios for the driving safety evaluation of automated vehicles in simulation, proving ground, and real road assessments.

자율주행차의 안전성을 실효성 있게 평가하기 위해서는 기하구조, 교통안전시설, 혼잡도, 기상 등 다양한 항목들이 평가 시나리오 내에 고려될 필요가 있다. 이에 본 연구에서는 자율주행차 평가 시나리오에 반영되어야 하는 구성요소들을 도출하기 위해 먼저 평가 시나리오의 체계를 수립한 후 반영될 구성요소를 계층별로 범주화하였다. 이후 계층별로 관련 문헌을 검토하여 자율주행차 평가에 영향을 줄 수 있는 모든 평가 구성요소 후보를 도출한 후, 전문가 설문조사 결과를 바탕으로 총 77개의 자율주행차 평가 시나리오 구성요소들을 선정하였다. 선정된 자율주행차 평가 구성요소들은 시뮬레이션 평가, 주행시험장 평가, 실도로 평가 등에서 자율주행차의 안전성 평가를 위한 시나리오 개발에 많이 활용될 것으로 기대된다.

Keywords

Acknowledgement

본 논문은 국토교통부 자율주행기술개발혁신사업 '주행 및 충돌상황 대응 안전성 평가기술개발(21AMDP-C160637-01)' 과제 지원에 의해 수행되었습니다.

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