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地铁环境下时变公交网络的最优路算法
引用本文:徐勇,贾欣,王哲,王翠柳. 地铁环境下时变公交网络的最优路算法[J]. 计算机系统应用, 2015, 24(1): 104-108
作者姓名:徐勇  贾欣  王哲  王翠柳
作者单位:河北工业大学理学院,天津,300401
基金项目:河北省自然科学基金(A2013202198);国家大学生创新创业训练计划(201310080030)
摘    要:通过建立图论模型实现了地铁环境下时变公交网络的出行优化问题.首先,建立了公交地铁网络图及基于此网络图的二分图、映射网络图,并对地铁线路上站点间的权值进行合理倍数的缩小以达到优选地铁的目的.同时,考虑到地铁与公交的时变性,即是否在它们的运营时间段内直接关系到查询到的最优路径.然后给出以换乘次数少为目标的最优路径选择算法.最后用实例来验证了该算法的有效性.

关 键 词:最优路径  时变性  映射网络图  二分图  多部图
收稿时间:2014-04-18
修稿时间:2014-05-16

Mathematical Programming Model and Algorithm for Time-Varying Transit Network Based on the Environment of Subway
XU Yong,JIA Xin,WANG Zhe and WANG Cui-Liu. Mathematical Programming Model and Algorithm for Time-Varying Transit Network Based on the Environment of Subway[J]. Computer Systems& Applications, 2015, 24(1): 104-108
Authors:XU Yong  JIA Xin  WANG Zhe  WANG Cui-Liu
Affiliation:School of Science, Hebei University of Technology, Tianjin 300401, China;School of Science, Hebei University of Technology, Tianjin 300401, China;School of Science, Hebei University of Technology, Tianjin 300401, China;School of Science, Hebei University of Technology, Tianjin 300401, China
Abstract:The optimization of travel for time-varying transit network based on the environment of subway is realized through the establishment of graph theory model. First, bus and subway network graph, bipartite graph and mapping network graph which is based on the network graph are established. The weight between two subway stations is appropriately reduced in order that we can optimize subway. Meanwhile, time variation of bus and subway is considered in this paper. Whether the time we travel is in their operational period is directly related to the optimal path queried. Then, the optimal path selection algorithm based on the purpose of less transfer times and short distance is given. Finally, we use a numerical example to illustrate the solution process of the proposed method.
Keywords:optimal path  time variation  mapping network graph  bipartite graph  multipartite graph
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