A multiobjective model for passenger train services planning: Application to Taiwan's high-speed rail line

Yu-Hern Chang, Chung-Hsing Yeh, Ching-Cheng Shen

    Research output: Contribution to journalArticleResearchpeer-review

    186 Citations (Scopus)


    This paper develops a multiobjective programming model for the optimal allocation of passenger train services on an intercity high-speed rail line without branches. Minimizing the operator's total operating cost and minimizing the passenger's total travel time loss are the two planning objectives of the model. For a given many-to-many travel demand and a specified operating capacity, the model is solved by a fuzzy mathematical programming approach to determine the best-compromise train service plan, including the train stop-schedule plan, service frequency, and fleet size. An empirical study on the to-be-built high-speed rail system in Taiwan is conducted to demonstrate the effectiveness of the model. The case study shows that an optimal set of stop-schedules can always be generated for a given travel demand. To achieve the best planning outcome, the number and type of stop-schedules should be flexibly planned, and not constrained by specific stopping schemes as often set by the planner. (C) 2000 Elsevier Science Ltd. All rights reserved.

    Original languageEnglish
    Pages (from-to)91-106
    Number of pages16
    JournalTransportation Research, Series B: Methodological
    Issue number2
    Publication statusPublished - 1 Jan 2000


    • High-speed rail
    • Multiobjective programming
    • Passenger train planning
    • Stop-schedule

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