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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Development of Functional Scenarios for Automated Vehicle Assessment : Focused on Tollgate and Ramp Sections

자율주행차 평가용 상황 시나리오 개발 : 톨게이트, 램프 구간을 중심으로

  • Jongmin, Noh (Dept. of Transportation Eng., Univ. of Ajou) ;
  • Woori, Ko (Dept. of Transportation Eng., Univ. of Ajou) ;
  • Joong Hyo, Kim (Department of Advanced Traffic, Traffic Science Institute, Korea Road Traffic Authority) ;
  • Seok Jin, Oh (Civil & Environmental engineering, Univ. of Honam ) ;
  • Ilsoo, Yun (Dept. of Transportation Eng., Univ. of Ajou)
  • 노종민 (아주대학교 교통공학과) ;
  • 고우리 (아주대학교 교통공학과) ;
  • 김중효 (도로교통공단 교통과학연구원 첨단교통연구처) ;
  • 오석진 (호남대학교 토목환경공학과) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Received : 2022.09.14
  • Accepted : 2022.10.26
  • Published : 2022.12.31
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Abstract

Positive effects such as significantly reducing traffic accidents caused by human error can be expected by the introduction of Automated vehicles (AV). However, as new traffic safety issues are expected to occur in the future due to errors in H/W or S/W of autonomous vehicles and lack of its function, it is necessary to establish a scenario to evaluate the driving safety of AV. Therefore, in this study, functional scenario was developed to evaluate the driving safety of AV based on traffic accident data of the National Police Agency. Using the GIS program, QGIS, traffic accident data that occurred in the toll gate and ramp sections of expressway were extracted and accident summary items were checked to classify the types of accident. In addition, based on the results of accident type classification, functional scenario were developed that contains various dangerous situations in the tollgate and ramp sections.

자율주행차의 도입으로 인적 오류에 의한 교통사고가 크게 줄어드는 것과 같은 긍정적 파급효과를 기대할 수 있다. 그러나 자율주행차의 H/W 또는 S/W의 오류 및 기능 부족등으로 새로운 교통안전 이슈가 앞으로 발생할 것으로 예상됨에 따라 자율주행차의 주행 안전성을 평가하기 위한 현실적이고 체계적인 시나리오 구축이 필요하다. 이에 본 연구에서는 경찰청 교통사고 데이터를 바탕으로 자율주행차 주행 안전성을 평가하기 위한 상황 시나리오(functional scenario)를 개발하였다. GIS 프로그램인 QGIS를 활용하여 국내 고속도로 톨게이트 및 램프 구간에서 발생한 교통사고 데이터를 추출하고 교통사고 개요 항목을 확인한 후, 교통사고 유형을 분류하였다. 또한, 교통사고 유형 분류 결과를 바탕으로 톨게이트와 램프 구간의 다양한 위험 상황을 내용으로 하는 상황 시나리오를 개발하였다.

Keywords

Acknowledgement

본 연구는 국토교통부 및 국토교통과학기술진흥원의 연구비 지원 (22AMDP-C161752-02)에 의해 수행하였습니다. 본 논문은 한국ITS학회 2022년도 춘계학술대회(2022.06.17)에서 발표된 내용을 수정.보완하여 작성된 것입니다.

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