Highlights We develop a schedule-based model for transit timetabling. A passenger equilibrium assignment is included to improve the timetable quality. Train capacity is considered in this schedule-based model. An iterative method using the decomposition approach is proposed to solve the model. The schedule-based model is tested on southern China’s high-speed railway network.

    Abstract This study proposes a model and method for solving the transit timetabling problem with consideration of passenger path choices within a congested and schedule-based transit network. The model has two submodels: transit timetabling and passenger-equilibrium assignment. The transit timetabling submodel generates timetables to improve passengers’ journey experience based on the results of passenger-equilibrium assignment, whereas the passenger-equilibrium assignment loads passengers on transit vehicles based on a fixed vehicle capacity and timetable output from the transit timetabling. An iterative method is developed to connect these two submodels and efficiently determine an optimal solution. The iterative method includes an equilibrium assignment method to simulate passenger loading and suggests a decomposition approach for transit timetabling. The decomposition approach has a significant computational advantage when handling transit systems that involve hundreds of transit vehicles because the algorithm generates a timetable for one transit line in each step rather than for all transit lines. The decomposition approach can therefore handle relatively large problems with more transit lines. The suggested algorithms are analyzed with a hypothetical example and with the practically sized example of South China’s high-speed railway in terms of efficiency, optimality, and applicability.


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    Title :

    A schedule-based timetable model for congested transit networks


    Contributors:
    Xie, Jiemin (author) / Zhan, Shuguang (author) / Wong, S.C. (author) / Lo, S.M. (author)


    Publication date :

    2020-12-09




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English