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

  • 제23권5호
  • /
  • Pages.147-167
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  • 2024
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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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모바일 기반 영상 자료 활용 교통상충 분석 방향: SSM 지표 검토 중심으로

Direction for Traffic Conflict Analysis Using Mobile-based Image Data: Focused on Review of SSM

  • 남상기 (영남대학교 도시공학과) ;
  • 김천호 ((유)삼송 SPS팀) ;
  • 정연식 (영남대학교 도시공학과)
  • Sanggi Nam (Dept. of Urban Planning and Engineering, Yeungnam University) ;
  • Cheonho Kim (Samsong Industries, Ltd.) ;
  • Younshik Chung (Dept. of Urban Planning and Engineering, Yeungnam University)
  • 투고 : 2024.09.25
  • 심사 : 2024.10.15
  • 발행 : 2024.10.31
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초록

교통상충 기법은 차량간 시공간적 이동 궤적에 대한 분석을 기반으로 진행되기 때문에, 영상을 통해 수집된 자료를 활용하는 것이 일반적이었다. 최근, 모바일 영상 수집 장치의 기술과 분석 기술의 발전으로 교통상충 기법을 활용한 교통안전 분야 연구는 더욱 도전적으로 다가오고 있다. 이러한 배경하에, 본 연구의 목적은 영상자료 기반 교통상충 기법 활용 연구와 영상자료의 유형 별 대체안전지표(surrogate safety measure: SSM)의 고찰하고, 이를 통해 교통상충 기반 교통안전 연구를 위한 모바일 영상 자료 구축 및 모바일 영상 자료 기반 SSM 활용 방안을 제시하는 것이다. 이를 위해 과거 50년간(1972-2022)간 영상자료 기반 교통상충 관련 연구와 이들 연구에 활용된 SSM을 조사하였다. 총 40건의 연구를 검토하여, 연구에 활용된 영상자료의 유형과, 수집장비 및 SSM을 정리하였다. 특히, 활용된 SSM의 수식 및 장단점 등 구체적인 내용을 정리하였다. 대부분 연구에서는 고정식 영상을 활용한 반면, 모바일 영상 자료의 단독 활용은 연구는 전무하여, 모바일 영상 자료의 활용에 대한 부분은 기존 연구와의 간격을 보여주었다. 본 연구의 결과는 향후 모바일 영상 자료를 활용한 교통안전 분석 분야 기초 자료로 활용될 것으로 기대된다.

Since the traffic conflict technique is typically based on analyzing spatiotemporal movement trajectories between vehicles, it has been expected to use data collected through video footage. Recently, with advances in mobile image-related technologies, research in traffic safety using the traffic conflict technique has become more challenging. This study aims to review the use of image-based traffic conflict studies and surrogate safety measures (SSM) by type of image data and to suggest a direction for constructing mobile image data for measuring traffic conflict. This study reviews SSM used in image-based traffic conflict assessment over the past 50 years (1972-2022). A total of 40 studies were reviewed to identify the types of image data, collection equipment, and SSMs. Most studies have used fixed devices, while there has been no research on the exclusive use of mobile image data, identifying research gaps with previous studies on the use of mobile image data. The results are expected to be used as basic information in traffic safety using mobile image data.

키워드

과제정보

이 논문은 2023년도 정부(경찰청)의 재원으로 과학치안진흥센터의 지원을 받아 수행된 연구임(RS-2023-00260576, 자율주행자동차 교통사고 조사·분석 기술 개발을 위한 교통사고 재현S/W 개발).

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