The car flow route is related to the train formation plan closely. In order to moderate this relativity, based on the K shortest routes, this paper establishes a model for synthetic optimization of car flow route and train formation plan under the conditions of railway network's environmental parameters, capacity constraint and so on. Because it is difficult to solute the model using the traditional method, this paper adopts the genetic simulated annealing algorithm. The method in this paper can realize the synthetic optimization of car flow route and train formation plan.


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    Titel :

    A Network Method of Synthetic Optimization of Car Flow Route and Train Formation Plan


    Beteiligte:
    Wang, Lihua (Autor:in) / Pen, Qiyuan (Autor:in) / Zhang, Zhanjun (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




    A Network Method of Synthetic Optimization of Car Flow Route and Train Formation Plan

    Wang, L. / Pen, Q. / Zhang, Z. et al. | British Library Conference Proceedings | 2009



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