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文章基本信息

  • 标题:Study on Search Algorithm of Passenger Travel Route in Railway Transport Network
  • 本地全文:下载
  • 作者:Lu Tong ; Lei Nie ; Gen-Cai Guo
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:2436-2444
  • DOI:10.2174/1874110X01509012436
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    Study on search algorithm of passenger travel route in railway transport network is of great importance in evaluation on railway operation benefit. Based on features of large-scale network and railway passenger transportation organization, the paper firstly innovatively puts forward the generation method of alternative route set in multiple constraint conditions. K short routes is proposed based on layering network to generate the alternative route set of passenger flow and hybrid genetic algorithm to generate the alternative route set of passenger flow in format of origindestination matrix in order to overcome the shortage of traditional Dijkstra algorithm. Then reasonable routes of passenger flow are selected from the alternative route set. Finally, the algorithm by MATLAB programming can search reasonable route set of 589 passenger flows within 2 minutes in the railway network constituted by 521 stations which verifies the convergence of the algorithm.

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