This paper proposes a macroscopic model to describe the equilibrium distribution of passenger arrivals for the morning commute problem in a congested urban rail transit system. We use a macroscopic train operation sub-model developed by Seo, Wada, and Fukuda to express the interaction between the dynamics of passengers and trains in a simplified manner while maintaining their essential physical relations. The equilibrium conditions of the proposed model are derived and a solution method is provided. The characteristics of the equilibrium are then examined both analytically and numerically. As an application of the proposed model, we analyze a simple time-dependent timetable optimization problem with equilibrium constraints and reveal that a ‘capacity increasing paradox’, in which a higher dispatch frequency increases the equilibrium cost, exists. Furthermore, insights into the design of the timetable are obtained and its influence on passengers' equilibrium travel costs is evaluated.


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    Titel :

    Morning commute in congested urban rail transit system: a macroscopic model for equilibrium distribution of passenger arrivals


    Beteiligte:
    Zhang, Jiahua (Autor:in) / Wada, Kentaro (Autor:in) / Oguchi, Takashi (Autor:in)


    Erscheinungsdatum :

    31.12.2023


    Format / Umfang :

    25 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt







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