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Analysis of Factors Affecting the Take-over Time of Automated Vehicles Using a Meta-analysis

메타분석을 이용한 자율주행차 제어권 전환 소요시간 영향요인 도출

  • Lee, Kyeongjin (Dept. of Transportation System Eng., Ajou University) ;
  • Park, Sungho (Dept. of Transportation System Eng., Ajou University) ;
  • Park, Giok (Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority) ;
  • Park, Jangho (Dept. of Civil Systems Eng., Ajou University) ;
  • Yun, Ilsoo (Dept. of Transportation System Eng., Ajou University)
  • 이경진 (아주대학교 교통공학과) ;
  • 박성호 (아주대학교 교통시스템공학과) ;
  • 박기옥 (한국교통안전공단 자동차안전연구원 결함조사실) ;
  • 박장호 (아주대학교 건설시스템공학과) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Received : 2022.06.24
  • Accepted : 2022.08.01
  • Published : 2022.08.31

Abstract

In the case of SAE autonomous driving levels 2 and 3, since complete autonomous driving is impossible, the take-over process is essential, and take-over time(TOT) is the most important factor in determining the safety of the autonomous driving system. Accordingly, research on TOT is being actively conducted, but each research is independently conducted and general conclusions that integrate various research results are required. Therefore, in this study, the factors affecting TOT were analyzed using meta-analysis, which integrates the results of individual studies and presents an integrated opinion. As a result of meta-analysis, a total of 10 influencing factors were selected, and most of them were related to the non-driving related task(NDRT) type. In addition, implications for the future research direction of take-over and NDRT were presented.

SAE 기준 자율주행 레벨 2, 3의 경우 완전 자율주행이 불가능하므로 주행에 있어 제어권 전환 과정이 필수적이며, 제어권 전환 소요시간은 자율주행시스템의 안전성을 결정하는 가장 중요한 요소이다. 이에 따라 제어권 전환 소요시간에 대한 연구가 활발히 진행되고 있으나, 각 연구는 독립적으로 시행되어 다양한 연구 결과를 통합한 일반적인 결론 도출이 필요한 실정이다. 따라서, 본 연구는 개별 연구 결과를 통합해서 통합적인 의견을 제시하는 메타분석 기법을 사용하여 제어권 전환 소요시간에 영향을 주는 요인을 분석하였다. 메타분석 결과, 총 10개의 영향요인이 선정되었으며 대부분이 비운전 업무 유형과 관련되어 있었다. 또한, 향후 제어권 전환 및 비운전 업무 연구 수행 방향성 측면에서 시사점을 제시하였다.

Keywords

Acknowledgement

이 논문은 2021년도 정부(국토교통부)의 재원으로 국토교통과학기술진흥원(KAIA)의 지원을 받아 수행된 연구임(21AMDP-C162419-01, 자율주행기술개발혁신사업). 본 논문은 2022년 한국ITS학회 춘계학술대회에 게재되었던 논문을 수정·보완하여 작성하였습니다.

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