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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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A Network Sensor Location Model Considering Discrete Characteristics of Data Collection

데이터 수집의 이산적 특성을 고려한 네트워크 센서 위치 모형

  • Yang, Jaehwan (Dept. of Civil and Environmental Eng., Seoul National University) ;
  • Kho, Seung-Young (Dept. of Civil and Environmental Eng., Institute of Construction and Environmental Eng., Seoul National University) ;
  • Kim, Dong-Kyu (Dept. of Civil and Environmental Eng., Seoul National University)
  • 양재환 (서울대학교 건설환경공학부) ;
  • 고승영 (서울대학교 건설환경공학부, 건설환경종합연구소) ;
  • 김동규 (서울대학교 건설환경공학부)
  • Received : 2017.09.19
  • Accepted : 2017.10.17
  • Published : 2017.10.31
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Abstract

Link attributes, such as speed, occupancy, and flow, are essential factors for transportation planning and operation. It is, therefore, one of the most important decision-making problems in intelligent transport system (ITS) to determine the optimal location of a sensor for collecting the information on link attributes. This paper aims to develop a model to determine the optimal location of a sensor to minimize the variability of traffic information on whole networks. To achieve this, a network sensor location model (NSLM) is developed to reflect discrete characteristics of data collection. The variability indices of traffic information are calculated based on the summation of diagonal elements of the variance-covariance matrix. To assess the applicability of the developed model, speed data collected from the dedicated short range communication (DSRC) systems were used in Daegu metropolitan area. The developed model in this study contributes to the enhancement of investment efficiency and the improvement of information accuracy in intelligent transport system (ITS).

속도, 점유율, 교통량 등의 링크 속성은 교통계획 및 운영에 필수적인 요소이다. 따라서 링크 속성 정보를 수집하기 위한 센서들의 최적 위치를 결정하는 것은 지능형교통시스템(ITS)의 중요한 의사결정 중 하나이다. 본 연구는 전체 네트워크 교통정보의 변동성을 최소화하기 위한 네트워크 센서의 최적 입지를 결정하는 모형을 개발하는 것을 목적으로 한다. 이를 위해 데이터 수집의 이산적 특성을 반영한 네트워크 센서 위치 모형(NSLM)이 개발된다. 교통 정보의 변동성 지표는 분산-공분산 행렬의 대각요소의 합을 통해 계산된다. 개발된 모형의 적용가능성을 평가하기 위해, 대구광역시 도로에서 단거리 전용 통신(DSRC)으로 수집되는 속도 자료가 이용된다. 본 연구는 지능형교통시스템(ITS)의 투자 효율성을 제고하고 정보 정확도를 개선하는 데에 기여할 것으로 기대된다.

Keywords

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