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

  • 제16권6호
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  • Pages.29-41
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  • 2017
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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DSRC 기반 프로브 자료를 이용한 거시 교통류 모형 추정 방법

Deriving Macroscopic Fundamental Diagrams Using Probe Vehicle Data Based on DSRC

  • 심지섭 (KAIST 조천식녹색교통대학원) ;
  • 여지호 (KAIST 조천식녹색교통대학원) ;
  • 이수진 (KAIST 조천식녹색교통대학원) ;
  • 장기태 (KAIST 조천식녹색교통대학원)
  • Shim, Jisup (The Cho Chun Shik Graduate School of Green Transportation, KAIST) ;
  • Yeo, Jiho (The Cho Chun Shik Graduate School of Green Transportation, KAIST) ;
  • Lee, Sujin (The Cho Chun Shik Graduate School of Green Transportation, KAIST) ;
  • Jang, Kitae (The Cho Chun Shik Graduate School of Green Transportation, KAIST)
  • 투고 : 2017.08.31
  • 심사 : 2017.11.17
  • 발행 : 2017.12.31
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초록

본 연구에서는 개별 차량의 주행정보를 이용하여 대구광역시 도심부에서 네트워크 스케일의 거시 교통류 모형(Macroscopic Fundamental Diagram, MFD)을 추정하는 방법에 대해 고찰한다. 이를 위해 근거리 전용 통신(Dedicated Short Range Communication, DSRC) 방식으로 수집된 개별 차량의 원시 데이터 처리 방법 및 통행 정의 방법을 분석하고, 해당 자료를 활용하는 새로운 활용 방안을 제시한다. 이를 위해 프로브 자료인 DSRC 데이터와 교통량 조사 자료를 이용해 표본율을 산정하고 대구광역시 네트워크 내 MFD를 도출하는 방법을 설명한다. 도출된 MFD를 통해 시간적 재현성(reproducibility)의 확인과 선행 연구 가정 사항들에 대한 데이터 기반 검증을 수행하였으며, DSRC 자료의 새로운 활용 방법을 제시하고자 한다.

In this study, we used individual trip data to estimate a macroscopic fundamental diagram (MFD) that relates flow (or production) to density (or state) in Daegu metropolitan city. The individual trip data were generated by processing data that were collected from DSRC-based (dedicated short range communication) traffic data collection system. Using the processed individual trip data, we first examined whether the assumptions for MFD are valid, and then the relation between outflow and accumulation was estimated in our study site. As a result, we found that i) the assumptions are valid to construct MFD; and ii) the reproducible and well-defined MFDs exist in the network level.

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