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프로브 자전거 센서자료를 이용한 자전거 주행안전성 및 이동성 통합평가기법 개발

A Methodology for Evaluating Cycling Safety and Mobility using Probe Bicycle Sensor Data

  • 주신혜 (한양대학교 교통공학과) ;
  • 오철 (한양대학교 교통.물류공학과)
  • Joo, Shin-Hye (Transportation Engineering, Hanyang University) ;
  • Oh, Cheol (Transportation and Logistics Engineering, Hanyang University)
  • 투고 : 2011.12.19
  • 심사 : 2012.04.30
  • 발행 : 2012.06.30

초록

자전거는 비동력 무탄소 교통수단으로써 지속가능한 녹색교통수단으로 각광받고 있으며 자전거이용활성화를 위해서는 빠르고 쾌적하며, 안전한 자전거 주행환경을 제공하여 자전거가 가지고 있는 제약을 극복하여 보다 중요한 교통수단으로서의 기능을 할 수 있도록 해야한다. 따라서 본 연구에서는 자전거 모니터링의 일환으로 주행환경 평가시나리오 및 관성센서 및 자전거 속도계가 장착된 프로브자전거를 활용한 자전거 주행환경 평가기법을 제시하였다. 또한 제시된 평가기법은 신뢰성 분석기법인 FTA(Fault Tree Analysis)이론을 적용하여 자전거 주행안전성(CSI)과 주행이동성(속도)을 동시에 평가할 수 있는 통합평가지표를 제시함으로써 실효성이 높을 것으로 판단된다. 본 연구의 결과는 GPS와 관성센서가 통합된 자전거 전용단말기를 개발하여 공공자전거 시스템의 구성요소로 발전시킨다면 보다 지능적인 자전거 교통 모니터링이 가능할 것으로 기대된다.

Bicycle is an environment-friendly transport mode contributing to a more sustainable transportation systems. To innovatively increase the use of bicycle as a significant transport mode, bicycle-friendly roadway environment should be provided. This study proposes a method to evaluate cycling environment based on the analysis of data collected from an specially equipped probe bicycle. The inertial measurement unit(IMU) consisting of a gyro sensor, accelerometer, and a global positioning systems(GPS) receiver was installed on the probe bicycle. Cycling stability index(CSI) and bicycle speed data were used as inputs of the proposed evaluation framework adopting the Fault Tree Analysis, which is a well-known technique for the risk analysis. The outcomes of this study will serve as an intelligent assesment tool for cycling environment.

키워드

참고문헌

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피인용 문헌

  1. Methodology for Processing GPS-based Bicycle Speed Data for Monitoring Bicycle Traffic vol.13, pp.3, 2014, https://doi.org/10.12815/kits.2014.13.3.010