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孙敏, 林柏梁, 彭文高, 肖杰, 王家喜. 铁路高附加值货流改编链优化研究[J]. 铁路计算机应用, 2017, 26(7): 84-88.
引用本文: 孙敏, 林柏梁, 彭文高, 肖杰, 王家喜. 铁路高附加值货流改编链优化研究[J]. 铁路计算机应用, 2017, 26(7): 84-88.
SUN Min, LIN Boliang, PENG Wengao, XIAO Jie, WANG Jiaxi. Railway freight flow adaptation chain optimization for high value-added[J]. Railway Computer Application, 2017, 26(7): 84-88.
Citation: SUN Min, LIN Boliang, PENG Wengao, XIAO Jie, WANG Jiaxi. Railway freight flow adaptation chain optimization for high value-added[J]. Railway Computer Application, 2017, 26(7): 84-88.

铁路高附加值货流改编链优化研究

Railway freight flow adaptation chain optimization for high value-added

  • 摘要: 由于高附加值货流分布和班列产品结构并不完全匹配,在铁路网上仍然还有相当一部分高附加值货物无法挂运班列送达,因此,减少这部分货流的在途中转次数将提高其在运输市场中的竞争力。在分析铁路货物运输流程的基础上,提出以高附加值货流改编次数最少为目标的改编链优化模型,把车流在改编站上产生的改编费用通过列车服务网转换为列车弧的权值,这样,把模型的求解问题转化为列车服务网上的广义最短路径求解问题。采用C++计算机语言对模型进行求解,以江村至丰台西方向的车流为例进行验证,验证了模型的有效性。

     

    Abstract: Due to the high value-added freight flow distribution does not fully match the regular train product structure, a considerable portion of high value-added goods cannot be shipped by regular train in railway network. Therefore, to reduce the turnover times for this part of the freight flow could improve its competitiveness in the transportation market. On the basis of analyzing the railway freight transportation process, the article put forward the optimization model of the railway freight adaptation chain with the targets of minimizing the turnover times for the high value-added good. The adaptation cost of train flow on the adaptation station was converted into the weight of train arc by train service network. Thus, the solution of the model was transformed into the generalized shortest path problem of the train service network. The model was solved by C++ program language. Taken the train flow from Jiangcun to Fengtai West as an example, the validity of the model was verified.

     

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