期刊文献+

飞机登机策略分析Ⅰ——离散事件模拟模型 被引量:6

Analysis of Airplane Boarding Strategies Ⅰ——A Discrete Event Simulation Model
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摘要 我们建立了一种离散事件模拟登机模型,分析了不同的登机策略并提出了三种新的有效的登机策略.模型建立在模拟的基础上,因而是有效和精确的.模型以一种外在的多角度的方式判定一个登机策略的优劣.模型中有一些参量,通过调整这些参量可以改变模型以适应各种机型和不同的登机情形.通过灵敏度分析我们注意到"注意度"和"随意度"是两个重要的因素,它们是除登机总时间和平均时间外评价一个方案优劣的关键. We established a discrete event simulation airplane boarding model,we analyzed and compared diverse boarding policies and design three bran-new efficient boarding strategies.Our model is mainly grounded on simulation,which is effective,precise.This model can judge the boarding strategies in an external,comprehensive way.There are some parameters in the model,by adjusting them we can easily adapted our model to different type of airplanes and various boarding situations.A sensitivity analysis is also conducted,by which we pick up the ″Attentive Rate″ and the ″Unbending Rate″ are two important interference factors,that can be considered as the emphasis way to value a good boarding policy beside the total boarding time and the average boarding time.
作者 柯源
出处 《数学的实践与认识》 CSCD 北大核心 2007年第18期85-94,共10页 Mathematics in Practice and Theory
关键词 登机策略 离散 模拟 boarding discrete simulation
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参考文献10

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同被引文献68

  • 1鲁建厦,方荣,兰秀菊.国内仿真技术的研究热点——系统仿真学报近期论文综述[J].系统仿真学报,2004,16(9):1910-1913. 被引量:37
  • 2王文义,任刚.多种群退火贪婪混合遗传算法[J].计算机工程与应用,2005,41(23):60-62. 被引量:8
  • 3潘明阳,严飞,谢海燕.基于智能体与元胞自动机的智能交通仿真[J].交通运输工程学报,2006,6(2):70-74. 被引量:21
  • 4柯源.飞机登机策略分析Ⅱ——利用微分几何模拟登机[J].数学的实践与认识,2007,37(19):71-78. 被引量:2
  • 5S Marelli,G Mattocks, R Merry. The role of computer simulationin reducing airplane turn time[ M]. Aero Magazine 1,November,2002.
  • 6H Van Landeghem, A Beuselinck. Reducing pasaenger boardingtime in airplanes : A simulation based approach [ J ]. EuropeanJournal of Operational Research, 2002 ,142 ; 294—308.
  • 7M H L Vanden Briel, J R Villalobos, G L Hogg. The AircraftBoarding Problem [ C]. In Proceedings of the 12th Industrial En-gineering Research Conference ( IERC-2003 ) ( CD-ROM),No2153’ 2003.
  • 8Tang Tieqiao, Wu Yonghong, Huang Haijun, Lou Caccetta. Anaircraft boarding model accounting for passengers ’ individual prop-erties [ J ]. Transportation Research Part C, Emerging Technolo-gies, 2012,22:1-16.
  • 9Soolaki Majid, Mahdavi Iraj, Mahdavi-Amiri Nezam,Hassanza-deh Reza, Aghajani Aydin. A new linear programming approachand genetic algorithm for solving airline boarding problem [ J ]. Ap-plied Mathematical Modelling, 2012,36:4060- 4072.
  • 10Iyigunlu Setter, Yarlagadda Prasad, Fookes Clinton. Agent—basedapplication on different boarding strategies[ J]. Applied Mechanicsand Materials. Switzerland, 2014:568-570,1893-1897.

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