Underground logistics system (ULS) is one of the important freight transportation modes for many cities especially for the metropolis in the future, which will be a new way to solve the urban traffic congestion problem. So in this paper, the planning principles and methods of urban underground logistics system is presented. Some problems in ULS, such as the location methods and capacity determination of ULS network nodes, the route choice and traffic assignment of ULS network, are optimally analyzed and investigated. An integrated optimization model of urban underground logistics system is presented, which is solved by means of mixed integer programming and software LINDO. The freight transportation problem, the nodes location problem and the capacity determination problem are all solved with the integrated optimization model, which eliminates the limitation of partial optimization. Then the proposed model is applied to a case, which is worked out with the mixed integer programming algorithm and the software LINDO. Finally, the rationality of the model and the effectiveness of the algorithm are proved by the case.


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    Titel :

    Research on Optimization Model for Urban Underground Logistics System


    Beteiligte:
    Zhu, Jianjun (Autor:in) / Huang, Ke (Autor:in) / Pu, Yun (Autor:in) / Zhang, Jin (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2007-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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