基于组合熵优化的铁路客运网配流方法

发布时间：2018-03-03 05:14

本文选题：铁路运输　切入点：铁路客运网　出处：《东南大学学报(自然科学版)》2014年01期 　论文类型：期刊论文

【摘要】：针对铁路客运网的客流分配问题,以铁路列车开行方案为基础,由各OD间多条旅客出行路径构建铁路客运网.采用广义的旅行费用作为旅客出行路径综合总阻抗的度量,考虑不同铁路线区间客流输送能力和旅客出行路径综合总阻抗,提出不同铁路线区间客流输送能力饱和熵与旅客出行路径综合总阻抗熵等新概念.建立了以OD客流量守恒、旅客换乘次数限制以及客流量非负限制为约束条件,铁路旅客输送能力与旅客出行需求尽可能匹配的客流分配优化模型.根据区间客流输送能力和旅客出行路径综合总阻抗在实际问题中的重要程度,提出了基于组合熵优化的客流分配迭代优化求解算法.算例表明,利用该客流分配模型和算法能够得到更有效更细致的不同出行路径的铁路客流分配方案.
[Abstract]:In order to solve the passenger flow distribution problem of railway passenger transport network, a railway passenger transport network is constructed on the basis of railway train operation scheme. The generalized travel cost is used as the measure of the total impedance of passenger travel path. Considering the capacity of passenger flow in different railway lines and the total impedance of passenger travel path, a new concept, such as saturation entropy of passenger flow transport capacity and total impedance entropy of passenger travel path in different railway lines, is proposed, and the conservation of OD passenger flow is established. The restrictions on the number of times of passenger transfer and the non-negative restrictions on passenger flow are the constraints. The optimal model of passenger flow distribution, which can match the passenger transport capacity and passenger travel demand as much as possible, is based on the importance of the capacity of passenger transport and the total impedance of passenger travel path in practical problems. An iterative optimization algorithm for passenger flow assignment based on combinatorial entropy optimization is proposed. An example shows that more efficient and detailed railway passenger flow assignment schemes with different travel paths can be obtained by using the model and algorithm.
【作者单位】：北京交通大学轨道交通控制与安全国家重点实验室;北京交通大学交通运输学院;
【基金】：“十一五”国家科技支撑计划资助项目(2009BAG12A10) 国家高技术研究发展计划(863计划)资助项目(2012AA112001) 国家自然科学基金资助项目(61074151) 轨道交通控制与安全国家重点实验室自主研究课题资助项目(RCS2009ZT002,RCS2011ZZ004)
【分类号】：U293.13

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