통행시간 기반 혼합분포모형 분석을 통한 도시철도 승객의 급행 탑승 여부 추정 연구
Estimation of Mass Rapid Transit Passenger’s Train Choice Using a Mixture Distribution Analysis
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
대부분의 도시철도 시스템은 승객의 탑승열차 및 탑승열차종을 정확히 알 수 없다. 다수의선행연구에서는 교통카드데이터와 열차시각표를 매칭하여 탑승열차를 추정하였으나, 추정이불가능한 승객 또한 다수 존재한다. 본 연구의 9호선 사례분석 결과 교통카드데이터-열차시각표 매칭만으로는 약 28% 승객의 탑승열차종을 추정할 수 없음을 확인할 수 있었다. 이에 교통카드데이터-열차시각표 매칭과 본 연구에서 정의한 통행시간 기반 혼합확률분포분석을 순차적으로 적용하여 급행운영 도시철도노선 승객의 탑승열차종을 추정하는 방법을 개발하였다. 분석 결과, 298개 OD pair에서 본 연구의 검증 기준을 만족하는 합리적인 급행이용/비이용 승객 분류기준점을 도출할 수 있었다.
Abstract
Identifying the exact train and the type of train boarded by passengers is practically cumbersome. Previous studies identified the trains boarded by each passenger by matching the Automated Fare Collection (AFC) data and the train schedule diagram. However, this approach has been shown to be inefficient as the exact train boarded by a considerable number of passengers cannot be accurately determined. In this study, we demonstrate that the AFC data - diagram matching technique could not estimate 28% of the train type selected by passengers using the Seoul Metro line no.9. To obtain more accurate results, this paper developed a two-step method for estimating the train type boarded by passengers by applying the AFC data - diagram matching method followed by a mixture distribution analysis. As a result of the analysis, we derived reasonable express train use/non-use passenger classification points based on 298 origin-destination pairs that satisfied the verification criteria of this study.
참고문헌 (22)
- Baek J. H., "An investigation into passenger preference for express trains during peak hours", Transportation, 43, pp.623~641 (2016)
- Cheng G., "Estimation of passenger route choices for urban rail transit system based on automatic fare collection mined data", Transactions of the Institute of Measurement and Control, 41(11), pp.3092~3102 (2019)
- Hong L., "Assigning Passenger Flows on a Metro Network Based on Automatic Fare Collection Data and Timetable", Discrete Dynamics in Nature and Society, 2017, pp.1~10 (2017)
- Hong S. P., "Precise estimation of connections of metro passengers from Smart Card data", Transportation, 43, pp.749~769 (2016)
- Katori T., "Determination of stations where rapid trains stop or pass to local ones using a genetic algorithm to shorten total trip time", Computers in Railways, 9, pp.113~121 (2004)
- Kim K. M., "Does crowding affect the path choice of metro passengers?", Transportation Research Part A, 77, pp.292~304 (2015)
- 김경민, "서울지하철 9호선 2단계 개통에 따른 급행열차 선택 및 혼잡도 변화분석", 한국철도학회논문집, 19(5), pp.663~671 (2016), 한국철도학회
- 김경민, "도시철도 승객경로 추적에 관한 연구: 서울지하철 9호선을 중심으로", 한국철도학회논문집, 18(6), pp.586~595 (2015), 한국철도학회
- 김무선, "대피선 최소화를 고려한 광역철도 급행화 방안 연구", 한국철도학회논문집, 16(5), pp.402~409 (2013), 한국철도학회
- Kusakabe T., "Estimation method for railway passengers’ train choice behavior with smart card transaction data", Transportation, 37, pp.731~749 (2010)
- Lee H. J., "Metro Time: Travel Time Decomposition under Stochastic Time Table for Metro Networks", pp.1~8 (2017), 2017 IEEE International Conference on Smart Computing
- 이기형, "도시철도의 운행시간 단축을 위한 급행열차운행에 관한연구", 한국도시철도학회논문집, 6(2), pp.103~110 (2018), 한국도시철도학회
- Luo Q., "Stop Plan of Express and Local Train for Regional Rail Transit Line", Journal of Advanced Transportation, 2018, pp.3179321~ (2012)
- Othman N. B., "A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems", Journal of Computational Science, 10, pp.338~350 (2015)
- 손기민, "대피선 설치를 통한 수도권 광역철도 급행화 방안", 대한교통학회지, 25(5), pp.195~207 (2007), 대한교통학회
- Soo P. J., "A Development of Optimum Operation Models for Express-Rail Systems", Journal of the Korean Society for Civil Engineers D, 26(4D), pp.679~686 (2006)
- Sun Y., "Schedule-Based Rail Transit Path-Choice Estimation using Automatic Fare Collection Data", Journal of Transportation Engineering, 142(1) (2016)
- Sun Y., "Rail Transit Travel Time Reliability and Estimation of Passenger Route Choice Behavior", Transportation Research Record: Journal of the Transportation Research Board, 2275, pp.58~67 (2012)
- Wu J., "Data-driven model for passenger route choice in urban metro network", Physica A, 524, pp.787~798 (2019)
- Zhou F., "Estimation Method of Path-Selecting Proportion for Urban Rail Transit Based on AFC Data", Mathematical Problems in Engineering, 2015, pp.1~9 (2015)
- Zhu W., "Generating route choice sets with operation information on metro networks", Journal of Traffic and Transportation Engineering(English Edition), 3(3), pp.243~252 (2016)
- Zhu W., "Estimating train choices of rail transit passengers with real timetable and automatic fare collection data", Journal of Advanced Transportation, 2017, pp.5824051~ (2017)