期刊文献+

车票预售期内旅客购票请求到达过程分析与仿真 被引量:3

Analysis and simulation of passengers' ticket booking request arrival process in a ticket booking period
下载PDF
导出
摘要 准确把握旅客购票请求到达的规律,并对该过程进行仿真,是实施列车动态票额分配和调整的基础.本文基于对历史售票数据的分析得出:旅客购票请求的到达过程属于非齐次泊松过程,每个购票请求的票额数量是一个离散的随机数,因此,旅客的购票过程是一个复合非齐次泊松过程.通过对"Thinning"方法进行改进,采用分段"Thinning"方法对该过程进行仿真,结果表明,该方法产生的旅客购票请求的到达过程与实际观测到的旅客购票请求的到达过程符合率达92%. Passengers' travel demand which is derived from fully understanding of passengers' tickets booking process and simulation is the basic of dynamic tickets allocation and adjustment.Based on the analysis of passengers' history ticket booking records,this paper concludes that passengers' tickets booking requests follow a non-homogenous Poisson process,however,the number of tickets for each request is a discrete stochastic number,therefore,passengers' tickets booking process follows a compound non-homogeneous Poisson process.A simulation procedure is proposed with the method of segmental thinning,and the simulation results show that the coincidence of passenger ticket request arrival process between simulation and the observation is up to 92%.
出处 《北京交通大学学报》 CAS CSCD 北大核心 2012年第6期27-32,共6页 JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金 国家科技支撑计划项目资助(2009BAG12A10) 国家自然科学基金资助项目(71201009) 铁道部科技研究开发计划项目资助(2011X014-A) 轨道交通控制与安全国家重点实验室自主研究课题资助(RCS2009ZT009)
关键词 铁路旅客运输 旅客购票请求 到达过程 非齐次Poisson过程 Thinning方法 railway passenger transportation passenger ticket booking request arrival process non-homogenous Poisson process Thinning
  • 相关文献

参考文献14

  • 1Williarnson E L. Airline network seat inventory control: Methodologies and revenue impacts[D]. Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, 1992.
  • 2Lee T C, Hersh M. A model for dynamic airline seat inventory control with multiple seat bookings [ J ]. Transportation Sci, 1993, 27:252-265.
  • 3Weatherford L R, Bodily S E, Pfeifer P E. Modeling the customer arrival process and comparing decision rules in perishable asset revenue management situations[J]. Transportation Sci,1993, 27: 239-251.
  • 4Bertsimas D, de Boers. Simulation-based Booking-limits for airline revenue management[J]. Oper Res, 2005, 53 ( 1 ) : 90 - 105.
  • 5de Boer S V, Freling R, Piersma N. Mathematical pro gramming for network revenue management revised [J].European Journal of Operations Research, 2002, 137:72 - 92.
  • 6WANG X B, WANG F H. Dynamic network yield management[J]. Transportation Research Part B, 2007,41: 410 - 425.
  • 7Beckmann M J, Bobkowski F. Airline Demand, An analysis of some frequency distributions[J ]. Naval Res Logistics Q, 1958, 5: 43-51.
  • 8Gallego G, VAN RYZIN G. Optimal dynamic pricing of inventories with stochastic demand over finite horizons[J]. Management Science, 1994,40 (8) : 999 - 1020.
  • 9张秀敏,赵冬梅,文曙东.网络运输价格性质研究[J].系统工程理论与实践,2004,24(10):68-73. 被引量:13
  • 10Ross S M. Introduction to probability models [M]. 9th ed. Academic Press Inc, 2007.

二级参考文献4

  • 1Feng Y Y, Xiao B. A Continuous-time yield management model with multiple prices and reversible price changes[J]. Management Science, 2000, 46: 644-657.
  • 2Bremaud P. Point Processes and Queues, Martingale Dynamics[M]. New York: Springer-Verlag, 1980.
  • 3McGill J I, Van Ryzin G J. Revenue management: Research overview and prospects[J]. Transportation Science, 1999, 33: 233-256.
  • 4Gellego G, J Van Ryzin. Optimal dynamic pricing of inventories with stochastic demand over finite horizons[J]. Management Science, 1994, 40: 999-1020.

共引文献12

同被引文献15

引证文献3

二级引证文献34

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