HighlightsDevelop a bi-objective programming approach to determine the metro timetable.Minimize both net energy consumption and total travel time.Consider the dwell time uncertainty in the model.Use the ɛ-constraint method within a genetic algorithm to find the solutions.Present numerical examples based on the data from the Beijing Metro Yizhuang Line.

    AbstractFor optimization of timetables in metro systems with regular cyclic operation, this paper develops a bi-objective programming approach addressed to minimization of net energy consumption and total travel time with provision for dwell time uncertainty. Firstly, we formulate the bi-objective timetable optimization problem as an expected value model with speed profile control. Secondly, we use the ɛ-constraint method within a genetic algorithm framework to determine the Pareto optimal solutions. Finally, numerical examples based on the real-life operation data from the Beijing Metro Yizhuang Line are presented in order to illustrate the practicability and effectiveness of the approach developed in the paper.


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    Titel :

    Bi-objective programming approach for solving the metro timetable optimization problem with dwell time uncertainty


    Beteiligte:
    Yang, Xin (Autor:in) / Chen, Anthony (Autor:in) / Ning, Bin (Autor:in) / Tang, Tao (Autor:in)


    Erscheinungsdatum :

    2016-10-30


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch