Urban Rail Transit (URT) system has been one of the major trip modes in cities worldwide. As the passengers arrive at variable rates in different time slots, e.g., rush and non-rush hours, the service frequency at a site directly relates to perceived service quality of passengers; the high service frequency, however, incurs increased operation cost to the running of URT. Therefore, a tradeoff between the interest of railway operator and the service quality of passengers needs to be addressed. In this paper, we develop a model on the method of train operation scheduling using a Stackelberg game model. The railway operator is modeled as the game leader and the passengers as the game follower; an optimal service frequency can be determined according to strike the tradeoff between passengers' service quality and the operation cost of URT. Numerical experiments based on the operation data from Nanjing transit subway at China are presented and the results demonstrate that the proposed model can significantly improve the traffic efficiency.


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    Titel :

    Optimizing Service Frequency for Urban Rail Transit: A Game-Theoretical Methodology


    Beteiligte:
    Ma, Jiao (Autor:in) / Li, Changle (Autor:in) / Dong, Weiwei (Autor:in) / Liu, Zhe (Autor:in) / Luan, Tom H. (Autor:in) / Xiong, Lei (Autor:in)


    Erscheinungsdatum :

    01.09.2017


    Format / Umfang :

    225537 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Ma, Jiao / Li, Changle / Dong, Weiwei et al. | ArXiv | 2017

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