期刊文献+

考虑低行动力人群的公交线网优化设计 被引量:1

Public transport network optimization design for low-mobility individuals
下载PDF
导出
摘要 为提高城市居民的公交出行效率,首先结合公交运行特性以及公交线网规划,构建一种考虑低行动力人群的公交线网优化设计模型,然后在原始公交线网、公交跟车调查以及遗传算法理论的基础上,提出相应的求解方法,最后结合算例,并使用MATLAB软件进行求解.结果表明:公交线网的目标函数值由原来的12140 h优化为9786 h,且对低行动力人群公交出行时间成本的优化程度大于普通大众的优化程度.研究成果在优先满足低行动力人群公交出行需求的前提下,同时满足了普通大众公交出行需求,并对公交公司制定公交线网有一定的参考意义. In order to improve the efficiency of public transport for urban residents,combined with the public transport operation characteristics and public transport network planning,this paper first constructs a public transport network optimization design model considering low-mobility individuals.Then,based on the original public transport network,the public transport following survey and genetic algorithm theory,the corresponding solution method is proposed.Finally,combined with a numerical example,MATLAB software is used to solve the problem.The results show that:the objective function value of the public transport network is optimized from 12140 hours to 9786 hours,and the optimization degree of the travel time cost of the low-mobility individuals is greater than that of the general public.On the premise of giving priority to meet the travel needs of the low-mobility individuals,the research results can also meet the travel needs of the general public,and has reference significance for public transport companies to formulate public transport network.
作者 贾庆林 晋民杰 张涛 孙帆 JIA Qinglin;JIN Minjie;ZHANG Tao;SUN Fan(School of Transportation and Logistics, Taiyuan University of Science and Technology, Taiyuan 030024, China)
出处 《青岛理工大学学报》 CAS 2021年第3期142-148,共7页 Journal of Qingdao University of Technology
基金 山西省重点研发计划项目(No.201803D31076) 山西省哲学社会科学规划课题(No.2020YJ127) 山西省研究生教育创新项目(2020SY440) 太原科技大学科研启动基金项目(No.20192050)。
关键词 低行动力人群 普通大众 公交线网优化 遗传算法 low-mobility individuals general public public transport network optimization genetic algorithm
  • 相关文献

参考文献4

二级参考文献34

  • 1童刚.遗传算法在公交调度中的应用研究[J].计算机工程,2005,31(13):29-31. 被引量:31
  • 2经怀明,张立军.多车型车辆调度问题的建模与仿真[J].计算机仿真,2006,23(4):261-264. 被引量:23
  • 3时敬梁,田世峰.遗传算法在公交车辆智能排班系统中的应用研究[J]电脑知识与技术(学术交流),2007(12).
  • 4Hu Jian-ming,Yang Zhao-sheng,Feng Jian.Study on the opti-mization methods of transit network based on ant algorithm. Proceedings of the IEEE International Vehicle Electronics Confer-ence2001:IVEC 2001 . 2001
  • 5Zhang Feizhou,Yang Dongkai,Chen Xiuwan.Intelligent scheduling of public traffic vehicles based on hybrid genetic algorithm. Intelligent Transportation Systems,2003.Proceedings.2003 IEEE Volume 2 .
  • 6D.Lim,Y.Ong,Y.Jin,B.Sendhoff,B.Lee.Efficient hierar chical parallel genetic algorithms using grid computing. Future Gener.Comput.Syst . 2007
  • 7Furth P G. Short turning on transit routes[J]. Transportation Research Record, 1987, 1108: 42.
  • 8Site P D, Filippi F. Service optimization for bus corridors with short-turn strategies and variable vehicle size [ J ]. Transportation Research Part A: Policy & Practice, 1998, 32 (1):19.
  • 9Homero L, Ricardo G, Juan C M. Choosing the right express services for bus corridor with capacity restrictions[J]. Journal of the Transportation Research Board, 2010, 13(2197):63.
  • 10Leiva C, Mufioz J C, Giesen R, et al. Design of limited-stop services for an urban bus corridor with capacity constraints[J]. Transportation Research, Part B.. Methodological, 2010, 44 (10)..1186.

共引文献16

同被引文献4

引证文献1

二级引证文献1

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