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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Development and Evaluation of Road Safety Information Contents Using Commercial Vehicle Sensor Data : Based on Analyzing Traffic Simulation DATA

사업용차량 센서 자료를 이용한 도로안전정보 콘텐츠 개발 : 교통시뮬레이션 자료 분석을 중심으로

  • Park, Subin (Dept. of Transportation and Logistics Eng., Hanyang University) ;
  • Oh, Cheol (Dept. of Transportation and Logistics Eng., Hanyang University) ;
  • Ko, Jieun (Dept. of Transportation and Logistics Eng., Hanyang University) ;
  • Yang, Choongheon (Dept. of Infrastructure Safety Research Future Infrastructure Research Center, Korea Institute of Civil Engineering and Building Technology)
  • 박수빈 (한양대학교 교통.물류공학과) ;
  • 오철 (한양대학교 교통.물류공학과) ;
  • 고지은 (한양대학교 교통.물류공학과) ;
  • 양충헌 (한국건설기술연구원 인프라안전연구본부)
  • Received : 2019.12.27
  • Accepted : 2020.04.07
  • Published : 2020.04.30
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Abstract

A Cooperative Intelligent Transportation System (CITS) provides useful information on upcoming hazards in order to prevent vehicle collisions. In addition, the availability of individual vehicle travel information obtained from the CITS infrastructure allows us to identify the level of road safety in real time and based on analysis of the indicators representing the crash potential. This study proposes a methodology to derive road safety content, and presents evaluation results for its applicability in practice, based on simulation experiments. Both jerk and Stopping Distance Index (SDI) were adopted as safety indicators and were further applied to derive road section safety information. Microscopic simulation results with VISSIM show that 5% and 20% samples of jerk and SDI are sufficient to represent road safety characteristics for all vehicles. It is expected that the outcome of this study will be fundamental to developing a novel and valuable system to monitor the level of road safety in real time.

Cooperative-Intelligent Transport System(C-ITS)는 차량 대 차량 및 차량 대 인프라 무선 통신을 기반으로 교통사고예방을 목적으로 운전자에게 전방위험상황에 대한 정보를 제공한다. 또한 C-ITS 인프라에서 수집되는 차량의 주행행태 정보는 사고발생 개연성 분석을 통해 실시간 도로교통안전성 평가에 활용될 수 있다. 본 연구에서는 차량의 주행정보를 이용하여 도로의 교통안전성을 평가할 수 있는 방법론을 제시하였으며, 시뮬레이션 분석을 통해 방법론의 활용성을 검증하였다. 교통안전대체지표인 Jerk와 Stopping Distance Index(SDI)를 이용하여 개별차량의 주행 위험성을 분석하였으며, 위험성 분석결과를 집계하여 도로 구간별 안전성을 계량화하는 방법을 제시하였다. Jerk 기반의 안전성 평가 결과, 5% 이상의 차량 정보 샘플이 확보되면 본 연구의 방법론이 도로 구간의 교통안전성 평가에 적용 가능한 것으로 분석되었다. 한편, SDI의 경우에는 20% 이상의 샘플이 요구됨을 확인하였다. 이러한 결과는 일정 수준 이상의 사업용차량 센서 자료로 수집된 Jerk와 SDI가 도로 구간의 안전성을 대표할 수 있음을 의미한다. 본 연구의 결과물은 도로의 교통안전성을 실시간으로 평가하고 모니터링하는 시스템 개발의 핵심요소로 활용될 것으로 기대된다.

Keywords

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