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.

Abstract
1. 서 론
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
후 기
References

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