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

  • 제21권3호
  • /
  • Pages.1-17
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  • 2022
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  • 1738-0774(pISSN)
  • /
  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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열차운행계획을 반영한 수도권 도시철도 열차 혼잡도 분석모형 연구

Train Crowdedness Analysis Model for the Seoul Metropolitan Subway : Considering Train Scheduling

  • 이상준 (서울연구원 교통시스템연구실) ;
  • 윤성진 (서울연구원 교통시스템연구실) ;
  • 신성일 (서울연구원 교통시스템연구실)
  • Lee, Sangjun (Dept. of Transportation Systems Research, The Seoul Institute) ;
  • Yun, Seongjin (Dept. of Transportation Systems Research, The Seoul Institute) ;
  • Shin, Seongil (Dept. of Transportation Systems Research, The Seoul Institute)
  • 투고 : 2022.03.25
  • 심사 : 2022.05.12
  • 발행 : 2022.06.30
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초록

수도권 도시철도 혼잡으로 인해 다양한 문제가 발생되고 있어 도시철도 혼잡을 정확히 분석하는 연구 또한 해결방안 중 하나일 것이다. 현재 계수법, 중량검지법, CCTV, 모바일 Wi-Fi 등을 활용한 혼잡도 분석방법론은 결과의 정확성이 낮거나 단일 노선 및 열차에만 국한되는 한계점이 존재한다. 본 연구에서는 도시철도 승객의 다중경로 이용행태와 수도권 도시철도 열차운행계획을 반영한 열차 혼잡도 분석모형을 제시하였다. 특히 열차 용량 초과시 승객이 대기한 후 다음 열차에 탑승하는 통행패턴을 고려하여 열차 혼잡도 산정의 정확성을 제고하였다. 열차 혼잡도는 10분 단위로 갱신되어 시민에게 혼잡정보 제공이 가능하므로 사회적 편익증대에 기여할 것으로 기대된다.

Accurate analysis of the causes of metro rail traffic congestion provides a means of addressing issues arising from metro rail traffic congestion in metropolitan areas. Currently, congestion analysis based on counting, weight detection, CCTVs, and mobile Wi-Fi is limited by poor accuracies or because studies have been restricted to single routes and trains. In this study, a train congestion analysis model was used that includes the transfer and multi-path behavior of metro passengers and train operation plans for metropolitan urban railroads. Analysis accuracy was improved by considering traffic patterns in which passengers must wait for next trains due to overcrowding. The model updates train crowding levels every 10 minutes, provides information to potential passengers, and thus, is expected to increase the social benefits provided by the Seoul metropolitan subway

키워드

과제정보

This research was supported by a grant(22TLRP-C148684-05)from Transportation & Logistics Research Program (TLRP) funded by Ministry of Land, Infrastructure and Transport of Korean government

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