A multiobjective model for passenger train services planning: application to Taiwan's high-speed rail line
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.
Year of publication: |
2000
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Authors: | Chang, Yu-Hern ; Yeh, Chung-Hsing ; Shen, Ching-Cheng |
Published in: |
Transportation Research Part B: Methodological. - Elsevier, ISSN 0191-2615. - Vol. 34.2000, 2, p. 91-106
|
Publisher: |
Elsevier |
Saved in:
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