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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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A Study on Operational Design Domain Classification System of National for Autonomous Vehicle of Autonomous Vehicle

자율주행을 위한 국내 ODD 분류 체계 연구

  • Ji-yeon Lee (Industry Promotion Office R&BD Center Resarch Team2, ITS Korea) ;
  • Seung-neo Son (Industry Promotion Office, ITS Korea) ;
  • Yong-Sung Cho (Planning and Strategy Office, ITS Korea)
  • 이지연 (한국지능형교통체계협회 산업진흥본부 연구개발센터 연구2팀) ;
  • 손승녀 (한국지능형교통체계협회 산업진흥본부) ;
  • 조용성 (한국지능형교통체계협회 기획조정본부)
  • Received : 2023.02.10
  • Accepted : 2023.03.20
  • Published : 2023.04.30
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Abstract

For the commercialization For the commercialization of autonomous vehicles (AV), the operational design domain (ODD) of automated driving systems (ADS) is to be clearly defined. A common language and consistent format must be prepared so that AV-related stakeholders can understand ODD at the same level. Therefore, overseas countries are presenting a standardized ODD framework and developing scenarios that can evaluate ADS-specific functions based on ODD. However, ODD includes conditions reflecting the characteristics of each country, such as road environment, weather environment, and traffic environment. Thus, it is necessary to clearly understand the meaning of the items defined overseas and to harmonize them to reflect the specific domestic conditions. Therefore, in this study, domestic optimization of the ODD classification system was performed by analyzing the domestic driving environment based on international standards. The driving environment of currently operating self-driving car test districts (Sangam, Seoul, and Gwangju) was investigated using the developed domestic ODD items. Then, based on the results obtained, the ranges of the ODDs in each test district were determined and compared.

자율주행자동차(Automated Vehicle, AV)의 상용화를 위해서는 ADS의 운행가능영역(Operational Design Domain, ODD)이 명확하게 정의되어야 하며, AV 관련 이해관계자들이 ODD에 대해 모두가 동일한 기준을 가지고 동일한 수준으로 이해할 수 있도록 공통된 언어와 일관된 양식이 마련되어야 한다. 따라서, 국외에서는 표준화된 ODD 프레임워크를 제시하고, ODD를 기반으로 ADS 특정 기능을 평가할 수 있는 시나리오 개발에 박차를 가하고 있다. 하지만, ODD는 도로환경, 기상환경, 교통환경 등 해당 국가별 특성이 반영된 조건이 포함되기 때문에 국외에서 정의된 항목을 그대로 적용하는 것이 아니라, 그 항목의 의미를 명확히 이해하고 국내의 여건을 반영하여 이를 정합화할 필요가 있다. 따라서, 본 연구에서는 국제표준을 기반으로 국내 주행환경을 분석하여 ODD 분류 체계 국내 최적화를 수행하였으며, 개발된 국내 ODD 항목을 기반으로 현재 운영 중인 자율주행차 시범운행지구(서울 상암, 광주)의 주행환경을 조사하고 그 결과를 바탕으로 시험운행지구별 ODD의 범위를 비교하였다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원 자율주행기술개발혁신사업(과제번호 : 22AMDP-C165730-02)의 연구비 지원으로 수행되었습니다.

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