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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Analysis of Dangerous Bus Driving Behavior Using Express Bus Digital Tacho Graph Data

고속버스 DTG 자료를 활용한 버스 위험운전 행태 분석

  • Kim, Su jae (Dept. of Urban Design and Planning, Univ. of Hongik) ;
  • Joo, Jaehong (Korea Transportation Safety Authority) ;
  • Choo, Sang ho (Dept. of Urban Design and Planning, Univ. of Hongik) ;
  • Lee, Hyangsook (Graduate School of Logistics, Incheon National Univ.)
  • 김수재 (홍익대학교 도시계획과) ;
  • 주재홍 (한국교통안전공단) ;
  • 추상호 (홍익대학교 건설도시공학부) ;
  • 이향숙 (인천대학교 동북아물류대학원)
  • Received : 2018.04.18
  • Accepted : 2018.04.26
  • Published : 2018.04.30
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Abstract

Bus, a major transportation mode, doesn't have a systematical evaluation system for dangerous driving behavior yet. This paper analyzes the characteristics and pattern of bus driving behavior using Digital Tacho Graph(DTG) data on express bus. 8 types of dangerous driving behavior were considered according to timeslot, the day of week and weather condition. As results, rapid acceleration, rapid left right turn and rapid deceleratio accounted for more than 97% and relatively high percentages were shown in dawn, on Friday and on the clear day, respectively. From the statistical analysis, correlation between the dangerous driving types and difference according the timeslot were found, and 3 groups considering the level of the dangerous driving were suggested. This study contributes to setting an efficient and reliable eduction system for using driving simulators.

많은 승객들이 이용하는 대중교통수단인 버스의 위험운전을 체계적으로 평가 및 진단하기 위한 시스템은 현재까지 매우 미흡한 상황이다. 본 연구는 실제 고속버스 운행기록장치(DTG, Digital Tacho Graph) 자료를 활용하여 버스 위험운전의 특성과 패턴에 대해 분석하였다. 위험운전 8개 유형에 대해 시간대별, 요일별, 날씨별 분포를 분석한 결과, 급가속(61.3%), 급좌우회전(20.1%), 급감속(15.1%) 유형이 대부분을 차지하였으며, 새벽시간대, 금요일, 맑은 날에 각각 위험운전이 더 많이 발생하는 패턴을 보였다. 이어서 통계분석을 통해 위험운전 유형별 상관성과 시간대별 발생건수의 차이를 규명하였으며, 위험운전의 정도에 따라 3개 그룹을 제시하였다. 본 연구의 결과는 향후 안전운전 교육기관에서 운전 시뮬레이터를 통한 신뢰성 있는 진단 및 교육을 수행하기 위한 참고자료로 활용될 수 있을 것이다.

Keywords

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