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

  • 제23권5호
  • /
  • Pages.1-17
  • /
  • 2024
  • /
  • 1738-0774(pISSN)
  • /
  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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고속도로 톨게이트 교통사고 유형화 및 네트워크 클러스터링 기반 톨게이트 개선방안 수립 연구

Study on the Establishment of Tollgate Improvement Measures through Categorization of Expressway Tollgate Accidents and Network Clustering

  • 김인영 (아주대학교 D.N.A. 플러스융합학과) ;
  • 정한솔 (아주대학교 D.N.A. 플러스융합학과) ;
  • 박상민 (한국교통연구원 도로교통연구본부) ;
  • 이광섭 (SK 텔레콤 Teleco data 사업팀) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Inyoung Kim (Dept. of Transportation Eng., Ajou Univ.) ;
  • Hansol Jeong (Dept. of Transportation Eng., Ajou Univ.) ;
  • Sangmin Park (Dept. of Road Transport Research, Korea Transport Institute) ;
  • Kwangseob, Lee (Teleco data business team, SK telecom) ;
  • Ilsoo Yun (Dept. of Transportation Eng., Ajou Univ.)
  • 투고 : 2024.07.19
  • 심사 : 2024.10.04
  • 발행 : 2024.10.31
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초록

국내 톨게이트는 하이패스 차로와 Toll Collection System(TCS) 차로가 공존하는 복잡한 형태로 설계되어 있어 해당 구간에서 교통사고가 빈번히 발생하고 있다. 정부에서는 교통사고 예방을 위해 교통사고 요인 분석을 기반으로 톨게이트 개선방안을 도출하고 개선해오고 있으나 여전히 교통사고가 끊이지 않고 있다. 다만, 톨게이트는 단거리이지만 주행 시 인지해야 할 상황과 이벤트들이 다수 존재해 교통사고 분석 시 상황과 요인 등을 복합적으로 고려할 필요가 있다. 따라서 본 연구에서는 교통사고 내용 데이터에 역문서 빈도 가중치를 적용하여 교통사고 요인과 상황을 도출하였으며, 그 이후 톨게이트 교통사고를 유형화하였다. 유형화 결과를 바탕으로 네트워크 클러스터링을 수행하여 실효성 높은 톨게이트 개선방안을 제안하였다.

In Korea, tollgates are designed in a complex manner with the coexistence of Hi-Pass and Toll Collection System lanes, frequently leading to traffic accidents. Despite the continuous efforts of the government to improve tollgates based on an analysis of accident factors, incidents still persist. Tollgates require drivers to be aware of numerous circumstances and events within a short distance, necessitating careful consideration of several factors and circumstances when analyzing traffic accidents. Therefore, this study applied the Term Frequency-Inverse Document Frequency method to traffic accident data to identify the factors and circumstances. Subsequently, the tollgate traffic accidents were categorized. Finally, effective tollgate improvement measures were proposed based on the categorization result.

키워드

과제정보

본 연구는 국토교통부 및 국토교통과학기술진흥원의 연구비 지원(RS-2021-KA160637)에 의해 수행하였습니다.

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