[1]蒋阳升,林曦,安定,等.考虑随机性和服务水平的地铁站自动售票机仿真优化配置[J].东南大学学报(自然科学版),2014,44(2):430-435.[doi:10.3969/j.issn.1001-0505.2014.02.036]
 Jiang Yangsheng,Lin Xi,An Ding,et al.Simulation optimization of ticket vending machines’ configuration in metro station considering randomness and level of service[J].Journal of Southeast University (Natural Science Edition),2014,44(2):430-435.[doi:10.3969/j.issn.1001-0505.2014.02.036]
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考虑随机性和服务水平的地铁站自动售票机仿真优化配置()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
44
期数:
2014年第2期
页码:
430-435
栏目:
交通运输工程
出版日期:
2014-03-20

文章信息/Info

Title:
Simulation optimization of ticket vending machines’ configuration in metro station considering randomness and level of service
作者:
蒋阳升123林曦123安定1朱娟秀123胡路123
1西南交通大学交通运输与物流学院, 成都610031; 2西南交通大学综合运输四川省重点实验室, 成都610031; 3西南交通大学综合交通运输智能化国家地方联合工程实验室, 成都610031
Author(s):
Jiang Yangsheng123 Lin Xi 123 An Ding1 Zhu Juanxiu123 Hu Lu123
1School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
2 Key Laboratory of Comprehensive Transport of Sichuan Province, Southwest Jiaotong University, Chengdu 610031, China
3
关键词:
自动售票机 状态相关性 容量限制 排队系统 服务水平 仿真优化
Keywords:
ticket vending machine state dependency capacity constraint queuing system level of service simulation optimization
分类号:
U231.4
DOI:
10.3969/j.issn.1001-0505.2014.02.036
摘要:
为优化配置地铁站的自动售票机数目,将自动售票过程抽象为具有状态相关性和容量限制的单服务台排队系统.基于实际调查数据发现,客流到达间隔和自动售票时间分别服从对数正态分布和伽马分布;根据地铁设计规范,将排队区域行人的等待忍耐极限转化为排队系统容量.在此基础上,利用Anylogic软件设计排队系统仿真优化实验,获取不同服务水平等级下的最优自动售票机台数.最后,对排队系统仿真实验进行微观仿真验证.结果表明,排队系统仿真与微观仿真实验结果高度吻合,由此证明了所提方法的可信度和适用性.
Abstract:
To optimize the number of the TVM(ticket vending machine)in the metro station, the automatic ticketing process is abstracted into a queuing system of a single service desk with state dependency and capacity constraints. Based on the actual survey data, it is found that the passenger arrival interval obeys the lognormal distribution and the service time of the TVM fits the gamma distribution. The capacity of the queuing system is transformed from the pedestrians’ waiting limits in the queuing area according to the code for metro design. On this basis, the Anylogic software is used to design the simulation optimization experiments of the queuing system to obtain the optimal number of the TVM in each level of service. The results show that the results of the simulation experiments of the queuing system are highly consistent with those of the microscopic simulation experiments, proving the reliability and applicability of the proposed method.

参考文献/References:

[1] 北京城建设计研究总院有限责任公司. GB 50157—2003地铁设计规范[S].北京:中国计划出版社,2003.
[2] Transportation Research Board of the National Academies.Transit capacity and quality of service manual [M]. Washington DC,USA:Transportation Research Board of the National Academy of Sciences,2003:118-122.
[3] 李季涛,杨俊锋,付佳.铁路车站售票窗口排队系统模拟优化[J].铁路运输与经济,2007,29(12):67-70.
  Li Jitao, Yang Junfeng, Fu Jia. Simulation optimization of the queuing system in front railway station ticketing office[J]. Railway Transportation and Economy, 2007,29(12):67-70.(in Chinese)
[4] 蒋阳升,胡路, 卢果. 基于排队论的地铁人行通道宽度取值方法[J]. 交通运输工程学报, 2010(3): 67-71.
  Jiang Yangsheng, Hu Lu, Lu Guo. Determined method of subway footway width based on queuing theory [J].Journal of Traffic and Transportation Engineering, 2010(3):67-71.(in Chinese)
[5] Hu L, Jiang Y S, Zhu J, et al. Hybrid of the scatter search, improved adaptive genetic, and expectation maximization algorithms for phase-type distribution fitting [J]. Applied Mathematics and Computation, 2013, 219(10): 5495-5515.
[6] Yuhaski S J Jr, MarGregor S J. Modeling circulation systems in buildings using state dependent queuing models [J]. Queueing Systems, 1989, 4(4): 319-338.
[7] Cheah J Y, MarGregor S J. Generalized M/G/C/C state dependent queuing models and pedestrian traffic flows [J]. Queuing Systems, 1994, 15(1/2/3/4): 365-386.
[8] Cruz F R B, MacGregor S J, Queiroz D C. Service and capacity allocation in M/G/C/C state-dependent queuing networks [J]. Computers and Operations Research, 2005, 32(6): 1545-1563.
[9] 李阳.大型客运站内客流组织系统分析与仿真方法研究[D].北京:北京交通大学交通运输学院,2010.
[10] 赵雅芳.铁路客运站自动售票设备布局与配置数量仿真评价研究[D].北京:北京交通大学交通运输学院, 2010.
[11] 杜海辉.大型客运站客流组织动态仿真系统实现方法的研究[D].北京:北京交通大学交通运输学院,2011.
[12] 李季涛,孙全欣.铁路客运站自动售票机终端配置微观仿真分析[J].中国铁道科学,2011,32(3):117-122.
  Li Jitao, Sun Quanxin.Analysis of railway passenger station ticket vending machine terminal configuration of microscopic simulation [J]. China Railway Science, 2011,32(3):117-122.(in Chinese)
[13] Jiang Y S, Hu L, Zhu J, et al. PH fitting of the arrival interval distribution of the passenger flow on urban rail transit stations [J]. Applied Mathematics and Computation, 2013, 225: 158-170.
[14] 陈悦峰,董原生,邓立群.基于Agent仿真平台的比较研究[J].系统仿真学报,2011,23(S1):110-116.
  Chen Yuefeng, Dong Yuansheng, Deng Liqun. Comparison of agent-based simulation platforms[J]. Journal of System Simulation, 2011, 23(S1):110-116.(in Chinese)
[15] 苏学功.客运专线自动售检票系统设计探讨[J].铁路通信信号工程技术, 2005,2(6):28-32.
  Su Xuegong. Design for automatic fare collection system in passenger dedicated line[J]. Railway Signalling & Communication Engineering, 2005,2(6):28-32.(in Chinese)

备注/Memo

备注/Memo:
收稿日期: 2013-08-23.
作者简介: 蒋阳升(1976—),男,博士,教授,博士生导师, jysphd@163.com.
基金项目: 国家自然科学基金青年基金资助项目(51108391)、国家自然科学基金资助项目(61170041).
引用本文: 蒋阳升,林曦,安定,等.考虑随机性和服务水平的地铁站自动售票机仿真优化配置[J].东南大学学报:自然科学版,2014,44(2):430-435. [doi:10.3969/j.issn.1001-0505.2014.02.036]
更新日期/Last Update: 2014-03-20