Earticle

초록

영어

This study collected video footage of accident-risk scenarios on actual roads using automobiles and motorcycles. A total of 191,500 km was driven with three vehicles and one motorcycle, capturing 6,550 near-miss accident videos. The footage was analyzed and categorized based on the 27 parameters of the iGLAD(Initiative for the Global Harmonization of Accident Data) accident categories. Parameters difficult to classify under iGLAD were localized to fit domestic conditions, and further analysis identified areas needing optimization. The categorized data was organized into a web-based database platform, providing statistical analysis and search functions for scenario development. Future use of this data will support the creation of safety evaluation scenarios for autonomous vehicles, enhancing traffic accident investigation and analysis systems. Expanding the database to include data from secondary roads and parking areas is expected to increase its applicability and value.

목차

Abstract
1. 서론
2. 이론적 배경
2.1 교통사고 데이터베이스
2.2 선행연구 조사
3. 데이터 수집 및 가공
3.1 데이터 수집
3.2 데이터 가공
3.3. 현지화 및 아차사고 최적화
3.4. 데이터 베이스 시스템 구축
4. 수집 데이터의 구축 현황
4.1. 실사고 데이터베이스 분석
4.2. 특수 이미지 데이터
5. 결론 및 향후 과제
후기
References

키워드

저자

• 김형규 [ Hyung-Kyu Kim | Researcher, Department of Samsong Post Safety, Samsong Industries. ]
• 백세룡 [ Se-Ryong Baek | Member, Department of Samsong Post Safety, Samsong Industries. ] Corresponding Author
• 최동민 [ Dong-Min Choi | Department of Mechanical Design Engineering, Jeonbuk National University ]
• 정승윤 [ Seung-yoon Jung | Researcher, Department of Samsong Post Safety, Samsong Industries. ]
• 김천호 [ Cheon-Ho Kim | Researcher, Department of Samsong Post Safety, Samsong Industries. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국기계항공기술학회지(구 한국기계기술학회지) [Journal of the Korean Society of Mechanical and Aviation Technology ]

• 간기

  격월간

• pISSN

  1229-604X

• eISSN

  2508-3805

• 수록기간

  1999~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 550 DDC 620