• Title/Summary/Keyword: 여객통행수요

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Line Planning Optimization Model for Intercity Railway (지역간 철도의 노선계획 최적화 모형)

  • Oh, Dongkyu;Kho, Seung-Young;Kang, Seungmo
    • Journal of Korean Society of Transportation
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    • v.31 no.2
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    • pp.80-89
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    • 2013
  • The purpose of this research is to optimize the line planning of the intercity passenger railway. In this study, the line planning problem has been formulated into a mixed integer programming by minimizing both user costs (passenger's total travel time) and operator costs (operation, maintenance and vehicle costs) with multiple train types. As a solution algorithm, the branch-and-bound method is used to solve this problem. The change of travel demand, train speed and the number of schedules have been tested through sensitivity analysis. The optimal stop-schedules and frequency as well as system split with respect to each train type have been found in the case study of Kyoung-bu railway line in Korea. The model and results of this research are useful to make a decision for railway operation strategy, to analyze the efficiency of new railway systems and to evaluate the social costs of users and operators.

Short-term Railway Passenger Demand Forecasting by SARIMA Model (SARIMA모형을 이용한 철도여객 단기수송수요 예측)

  • Noh, Yunseung;Do, Myungsik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.4
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    • pp.18-26
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    • 2015
  • This study is a fundamental research to suggest a forecasting model for short-term railway passenger demand focusing on major lines (Gyeungbu, Honam, Jeonla, Janghang, Jungang) of Saemaeul rail and Mugunghwa rail. Also the author tried to verify the potential application of the proposed models. For this study, SARIMA model considering characteristics of seasonal trip is basically used, and daily mean forecasting models are independently constructed depending on weekday/weekend in order to consider characteristics of weekday/weekend trip and a legal holiday trip. Furthermore, intervention events having an impact on using the train such as introduction of new lines or EXPO are reflected in the model to increase reliability of the model. Finally, proposed models are confirmed to have high accuracy and reliability by verifying predictability of models. The proposed models of this research will be expected to utilize for establishing a plan for short-term operation of lines.