Crew scheduling is an important part of the passenger dedicated line plan system, and also the main factor which influences the operating expenses of passenger dedicated line. After analyzing the crew scheduling problem, the following two steps are chosen to solve this problem. Firstly, divide the train running paths into crew paths, and then combine these crew paths into crew routes according to related constrain conditions of crew scheduling plan, the relationship between train numbers and the EMU routes. A mathematical model is given with the aim of minimizing the operating expenses of the crew scheduling problem and an ant colony algorithm is designed to solve this model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimization of Crew Scheduling Problem of Passenger Dedicated Line


    Beteiligte:
    Tian, Zhi-Qiang (Autor:in) / Ni, Shao-Quan (Autor:in) / Chen, Tao (Autor:in) / Song, Qi (Autor:in)

    Kongress:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2009-07-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Optimization of Crew Scheduling Problem of Passenger Dedicated Line

    Tian, Z.-q. / Ni, S.-q. / Chen, T. et al. | British Library Conference Proceedings | 2009


    Research on Optimization of Crew Scheduling of the Passenger Dedicated Line Based on a Genetic Ant Colony Algorithm

    Tian, Z. / Ni, S. / Chen, T. et al. | British Library Conference Proceedings | 2009


    Crew Scheduling Problem

    Vaidyanathan, Balachandran / Ahuja, Ravindra K. | Springer Verlag | 2015


    Zhengzhou-Xi'an passenger-dedicated line

    Studiengesellschaft für den kombinierten Verkehr e.V. | IuD Bahn | 2006


    Wuhan-Guangzhou passenger-dedicated line

    Studiengesellschaft für den kombinierten Verkehr e.V. | IuD Bahn | 2006