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

  • 제20권5호
  • /
  • Pages.202-217
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  • 2021
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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가상환경 기반 자율주행 운전능력 평가방안 연구

Study on the Evaluation Method of Autonomous Vehicle Driving Ability Based on Virtual Reality

  • 김중효 (도로교통공단 교통과학연구원 융합기술연구처) ;
  • 김도훈 ((주)포럼에이트코리아) ;
  • 주성갑 (서울시립대학교 일반대학원) ;
  • 오석진 (호남대학교 토목환경공학과)
  • Kim, Joong Hyo (Department of Convergence Technology, Traffic Science Institute, Korea Road Traffic Authority) ;
  • Kim, Do Hoon (FORUM8 KOREA Co., Ltd) ;
  • Joo, Sung Kab (Dept. of Smart Cities, University of Seoul) ;
  • Oh, Seok Jin (Civil & Environmental engineering, University of Honam)
  • 투고 : 2021.08.05
  • 심사 : 2021.09.07
  • 발행 : 2021.10.31
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초록

세계 최대 차량공유업체 우버의 자율주행에 의한 보행자 사망사고에 이어 지난 4월에는 테슬라의 자율주행 교통사고로 2명이 사망하는 등 자율주행의 안전성 문제가 대두됨에 따라 자율주행 도입에 따른 도로 이용자의 안전성 확보가 필요한 실정이다. 이에 자율주행의 안전성을 확보하기 위해서는 실제로 자율주행자동차가 주행할 도로 및 교통 환경을 기반으로 다양한 상황에서의 자율주행 운전능력을 평가할 필요가 있다. 따라서 본 연구는 다양한 운전능력 시험방법 중 가상현실 기반 자율주행 운전능력 평가도구를 제시하고자 일반 운전면허시험 문제를 기반으로 UC-win/Road ver.14.0을 활용하였다. 이를 바탕으로 복합적이고 다양한 주행환경에서 돌발상황에 대한 운전능력을 시험하고자 하였으며 자율주행 운전능력 시험평가의 최적의 도구로서의 실제 적용가능성을 확인하고자 하였다.

Following the fatal accident of pedestrians caused by Autonomous Vehicle by Uber, the world's largest ride-hailing company, two people were killed in a self-driving car accident by Tesla in April. There is a need to ensure the safety of road users. Accordingly, in order to secure the safety of Autonomous Vehicle driving, it is necessary to evaluate Autonomous Vehicle driving technologies in various situations based on the road and traffic environment in which the Autonomous vehicle will actually drive. Therefore, this study used UC-win/Road ver.14.0 based on general driver's license test questions to present a virtual reality-based Autonomous Vehicles driving ability evaluation tool among various driving ability test method. Based on this, it was intended to test driving ability for unexpected situations in complex and diverse driving environments, and to confirm its practical applicability as an optimal tool for Autonomous vehicle ability test and evaluation.

키워드

과제정보

본 연구는 도로교통공단의 2020년도 기본연구(연구용역)과제 지원으로 수행하였습니다.

참고문헌

  1. Chung S. H. et al.(2018), "A Study on Development of High Risk Test Scenario and Evaluation from Field Driving Conditions for Autonomous Vehicle," Journal of Auto-Vehicle Safety Association, vol. 10, no. 4, pp.40-49.
  2. Kim B. S. et al.(2019), "A Study on the Field-Based Evaluation Technology of Automated-driving Operation Design Domain," Korea Intelligent Automotive Parts Promotion Institute, Spring Conference, pp.776-777.
  3. Korea Institute of Civil Engineering and Building Technology(2019), Report on the Development of Hardware for Autonomous Vehicle Control.
  4. Korea Road Traffic Authority(2018), A Study on the Development of AI Autonomous Driving Capability Evaluation Techniques and Models.
  5. Korea Road Traffic Authority(2019), Traffic Science Research Brief, vol. 22, no. 3, pp.2-11.
  6. Korea Road Traffic Authority(2020), Traffic Science Research Brief, vol. 25, no. 2, pp.2-7.
  7. Ministry of Land, Infrastructure and Transport(2016a), Development of Safety Evaluation Technology for Autonomous Driving Vehicles and Establishment of Actual Road Evaluation Environment Phase2 Report.
  8. Ministry of Land, Infrastructure and Transport(2016b), Development of Safety Evaluation Technology for Autonomous Driving Vehicles and Establishment of Actual Road Evaluation Environment Report.
  9. Ministry of Land, Infrastructure and Transport(2019), Report on the Development of Safety Assessment Technology and Test Bed for Autonomous Driving Vehicles.