期刊文献+

基于遗传算法的城市轨道交通运行图自动调整的仿真研究 被引量:3

Research on simulation of train diagram automatic adjustment based on Genetic Algorithm in Urban Transit
下载PDF
导出
摘要 本文主要研究城市轨道交通中的列车实际运行图与计划运行图出现偏离而采取的自动调整方法。以上海地铁二号线为例,用Visual C++绘制列车运行图,搭建列车调整模型,在matlab7.5的环境下用遗传算法工具箱进行实例仿真求解,结果表明该算法稳定性良好,输出结果可靠。 This article mainly studied on the method of automatic adjustment between the actual train operation chart and program diagram in Urban Transit. Taken Shanghai Metro Line Two as an example, it was used Visual C++ to draw the train diagram, build train regulation model, in the matlab7.5 environment with toolbox of Genetic Algorithm for example simulation model, simulation results showed that the proposed Algorithm was well used, and the output results were reliable.
作者 杨柯 孔繁虹
出处 《铁路计算机应用》 2013年第2期58-62,共5页 Railway Computer Application
关键词 遗传算法 列车运行图 列车自动调整 Genetic Algorithm train diagram train automatic adjustment
  • 相关文献

参考文献3

  • 1雷英杰;张善文;李续武;周创明.MATLAB遗传算法工具箱及应用[M]西安:西安电子科技大学出版社,20051-258.
  • 2马海民;赵庶旭;党建武.基于多目标遗传算法的客运专线列车运行调整[A]2008全国博士生学术论坛——电气工程,20081998-2004.
  • 3Li Mao jun. COOPERATIVE EVOLUTION GENETIC ALGORITHM ON BIDDING OF POWER MARKET[A].2006.

同被引文献20

  • 1张大华.地铁列车运行自动调整功能的改进[J].城市轨道交通研究,2004,7(3):70-73. 被引量:4
  • 2周剑斌,苏浚,何泳斌.地铁列车运行再生能利用的研究[J].城市轨道交通研究,2004,7(4):33-35. 被引量:26
  • 3Gordon S.P.,and Lehrer D.G..Coordinated train control and energy management control strategies,Proceeding of the ASME/IEEE Joint railroad conference[C].1998:165-176.
  • 4Nag B.,and Pal M.N..Optimal design of timetables to maximize schedule reliability and minimize energy consumption,rolling stock and crew deploymen[C].UIC Railway Energy Efficiency Conference,Paris,France,2004.
  • 5Ramos A.,Pea M.T.,Fernández A.,and Cucala P..Mathematical programming approach to underground timetabling problem for maximizing time synchronization[C].International Conference on Industrial Engineering and Industrial Management Madrid,2007.
  • 6Pea M.,Fernández A.,Cucala A.P.,Ramos A.,and Pecharromán R.R..Optimal underground timetable design based on power flow for maximizing the use of regenerative-braking energy[J].Journal of Rail and Rapid Transit,2011(1):10.
  • 7Yang X.,Li X.,Gao Z.,Wang H.,and Tang T..A cooperative scheduling model for timetable optimization in subway systems[J].IEEE Transactions on Intelligent Transportation Systems,Vol.14,No.1,438-447,2013.
  • 8Holland J.H..Adaptation in Natural and Artificial Systems[M].Ann Arbor,MI:Univ.of Michigan Press,1975.
  • 9Shen Y.,Peng K.,Chen K.,and Li J..Evolutionary Crew Scheduling with Adaptive Chromosomes[J].Transportation Research Part B:Methodological,2013,56,174-185.
  • 10Das D.,Zhou S.,and Lee J.D..Differentiating alcoholinduced driving behavior using steering wheel signals,IEEE Transactions on Intelligent Transportation Systems[J].2012,13(3):1355-1368.

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部