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Preliminary Study Related with Application of Transportation Survey and Analysis by Unmanned Aerial Vehicle(Drone)

드론기반 고속도로 교통조사분석 활용을 위한 기초연구

  • 김수희 (한국도로공사 도로교통연구원) ;
  • 이재광 (계명대학교 도시계획및교통공학과) ;
  • 한동희 (한국도로공사 도로교통연구원) ;
  • 윤재용 (한국도로협회) ;
  • 정소영 (한국도로공사 도로교통연구원)
  • Received : 2017.11.15
  • Accepted : 2017.12.20
  • Published : 2017.12.31

Abstract

Most of the drone (Unmanned Aerial Vehicle) research in terms of traffic management involves detecting and tracking roads or vehicles. The purpose of analyzing image footage in the transportation sector is to overcome the limitations of the existing traffic data collection system (vehicle detectors, DSRC, etc.). With regards to this, drones are the good alternatives. However, due to limitation in their maximum flight time, they are appropriate to use as a complementary rather than replacing the existing collection system. Therefore, further research is needed for utilizing drones for transportation analysis purpose. Traffic problems often arise from one particular section or a point that expands to the whole road network and drones can be fully utilized to analyze these particular sections. Based on the study on the uses of traffic survey analysis, this study is conducted by extracting traffic flow parameters from video images(range 800~1000m) of highway unit segments that were taken by drones. In addition, video images were taken at a high altitude with the development of imaging technologies.

그동안 교통관리에서 적용되던 드론 관련 연구는 도로나 차량을 검지하고 추적하는 연구가 대분이었다. 교통분야에서 영상이미지를 분석하는 목적은 기존 교통자료 수집체계(차량검지기, DSRC 등)의 한계를 극복하기 위함이다. 그런 의미에서 드론은 상당히 좋은 대안이나 최대 비행시간이 제한되어 있어 기존 수집체계를 대체하기 보다는 보완적 성격으로 활용되는 것이 타당하다. 따라서 교통조사분석을 위한 드론 활용방안에 대한 연구가 더 필요한 실정이다. 교통문제의 경우 특정 구간이나 지점에서 발생한 문제가 네트워크 전체로 확대되는 경우가 많아 드론을 이용하여 이러한 구간들에 대한 분석이 필요하다. 본 연구는 교통조사분석 활용을 위한 기초 연구로 드론으로 촬영된 고속도로 구간(800~1000m)을 단위 구간으로 분할하여 교통류 변수들을 추출하였다. 또한 영상기술의 발전으로 고고도에서 영상 촬영을 수행하였다.

Keywords

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