A Study on the Development of Evaluation Items Driving Capability of Autonomous Vehicle Based on Traffic Act

Taehee Jin; Yunwon Kang; Dajeong Han; Gwangsoo Bae

doi:10.7470/jkst.2024.42.4.425

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2024 Vol.42, Issue 4 Preview Page Next Page

Article

A Study on the Development of Evaluation Items Driving Capability of Autonomous Vehicle Based on Traffic Act 도로교통법 기반 자율주행차 운전능력 평가 항목 개발 연구

31 August 2024. pp. 425-442

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Abstract

Autonomous driving technology is being standardized internationally, primarily by Europe and the United States, and these international standards are being applied to the type approval of actual vehicles. ISO 34502:2022 classifies physical risk factors into three categories: perception, traffic, and vehicle control, and describes the safety evaluation content. However, there is a lack of detailed evaluation based on individual provisions of traffic acts. Since autonomous vehicles must also comply with traffic regulations, this study aims to structure evaluation items for assessing autonomous driving competency based on domestic traffic acts. A review of the latest preceding studies and international standards related to the evaluation of autonomous vehicles revealed that various methodologies from the field of artificial intelligence in computer science are being applied, such as representing the consensus concepts of the real world in a form understandable by computers. This indicates the necessity for systematic structuring of traffic regulations similar to physical risk factors. As a major result of this paper, we proposed an evaluation item classification system consisting of 6 major categories, 22 middle categories, and 84 subcategories, covering the entire current road traffic acts, through a comparative analysis of international road traffic acts agreements and the evaluation items of the Korean driver’s license test. In the future, if additional detailed evaluation content for traffic regulation evaluation items and research on quantification used in knowledge representation understandable by computers are conducted based on the structured evaluation items proposed in this study, a sophisticated evaluation system for autonomous driving competency based on road traffic acts can be established.

Keywords

autonomous driving

driver’s license

driving competency

evaluation items

international standard

traffic acts

자율주행 기술은 유럽과 미국을 중심으로 국제 표준이 수립되고 있으며, 이러한 국제 표준은 실제 자동차의 형식승인에 적용되고 있다. 2022년 ISO 34502:2022는 물리적 위험 요인을 인지, 교통, 차량 제어의 세 가지로 분류하여 안전 평가 내용을 기술하고 있으나, 교통 법규에 대한 세부 평가는 부족하다. 자율주행자동차도 교통 법규를 준수해야 하기 때문에 본 연구는 국내 교통 법규를 기반으로 자율주행 운전 능력 평가를 위한 평가 항목을 구조화하는 것을 목적으로 한다. 자율주행 자동차 평가와 관련된 최신 선행연구와 국제 표준을 검토한 결과, 사람들이 현실 세계에 대한 합의된 개념을 컴퓨터가 이해할 수 있는 형태의 지식으로 표현하는 등 컴퓨터 공학의 인공지능 분야의 다양한 방법론이 적용되고 있음을 발견하였다. 이는 향후 물리적 위험 요인과 같이 교통 법규에 대한 체계적인 구조화가 필요함을 시사한다. 본 연구에서는 도로교통법에 관한 국제협약과 우리나라 운전면허시험의 평가 항목을 비교 분석하여, 대분류 6개, 중분류 22개, 소분류 84개로 구성된 평가 항목 분류 체계를 제시하였다. 이 체계는 현행 도로교통법 전체를 포괄할 수 있다. 향후, 본 연구에서 제시된 구조화된 평가 항목을 바탕으로 ISO 34502의 물리적 위험 요인에 상세한 세부 내용이 제시된 것처럼, 교통 법규 평가 항목에 대한 추가적인 세부 평가 내용과 컴퓨터가 이해할 수 있는 형태의 지식 표현에 관한 정량화 연구가 수행된다면, 도로교통법을 기반으로 하는 고도화된 자율주행차 운전 능력 평가 체계가 마련될 수 있을 것으로 판단된다.

키워드

자율주행

운전면허

운전능력

평가기준

국제기준

도로통법

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Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 42
No :4
Pages :425-442
Received Date : 2024-05-16
Revised Date : 2024-05-21
Accepted Date : 2024-07-24
DOI :https://doi.org/10.7470/jkst.2024.42.4.425

Journal of Korean Society of Transportation ISSN:1229-1366(Print) 2234-4217(Online) 대한교통학회지

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