基于虚拟排队系统的机场分类安检最优通道数量研究
Research on the Optimal Number of Lanes for Airport Classification Security Check Based on Virtual Queueing System
摘要: 由于出行方式的多样化、出行成本的降低和人民生活水平的提高,人们选择乘飞机出行的概率不断增大,机场旅客吞吐量快速增长,安检工作人员的压力不断攀升,旅客的等待时间也逐渐增加,传统安检模式已显现出其局限性。为了应对这一挑战,本文提出了一种新的解决方案,即采用基于虚拟排队系统的分类安检模式。该模式通过引入虚拟排队系统和分类安检,为旅客提供了更便捷的安检体验,能够有效缓解传统安检模式下的排队压力。为了评估两种安检模式之间的差异,本文通过建立两种安检模式下的成本函数,得到使得成本最低的各类安检通道数量,同时综合考虑旅客等待时间的需求。通过数值模拟,研究结果充分表明了虚拟排队分类安检模式在成本方面的优势。尽管其实施需要一定的投资成本,但从长远来看,这种新模式将为机场带来显著的成本节约和效率提升,进而提高旅客的满意度,增强机场的竞争力。
Abstract: Due to the diversification of travel options, reduced travel costs, and increased living standards, the likelihood of people choosing air travel has been consistently rising. As a result, airport passenger throughput has been rapidly increasing, placing escalating pressure on security screening person-nel and leading to progressively longer passenger waiting times. The limitations of traditional secu-rity screening methods have become evident. To tackle this challenge, this paper introduces a novel solution: a classification security screening mode based on a virtual queueing system. This mode incorporates virtual queueing and classification-based security screening to offer passengers a more convenient screening experience, effectively alleviating the queueing pressures associated with traditional methods. To assess the differences between the two screening modes, this paper formulates cost functions for both methods and determines the optimal number of security lanes for each, considering the passengers’ waiting time requirements. Numerical simulations conclu-sively demonstrate the cost advantages of the virtual queueing classification security screening mode. While its implementation may require initial investment, this new mode is poised to yield substantial cost savings and efficiency improvements for airports in the long run, ultimately en-hancing passenger satisfaction and bolstering airport competitiveness.
文章引用:陈燕婷, 李梦琪. 基于虚拟排队系统的机场分类安检最优通道数量研究[J]. 建模与仿真, 2023, 12(5): 4788-4798. https://doi.org/10.12677/MOS.2023.125435

参考文献

[1] 中国民航局. 2022年全国民用运输机场生产统计公报[EB/OL].
http://www.caac.gov.cn/XXGK/XXGK/TJSJ/202303/t20230317_217609.html, 2023-03-16.
[2] 中国民航局. 《“十四五”民用航空发展规划》印发[EB/OL].
http://www.caac.gov.cn/XWZX/MHYW/202201/t20220107_210799.html, 2022-01-07.
[3] 程明, 梁文娟. 机场安检人员工作压力源及影响因素研究[J]. 中国安全生产科学技术, 2011(1): 63-67.
[4] 王嘉宏. 通关安全检查系统的运作模式与仿真研究综述[J]. 计算机科学与应用, 2017, 7(11): 1067-1078.
[5] 王嘉宏, 陈荣庆. 基于旅客风险分类的机场安检排队仿真分析[J]. 管理科学与工程, 2018, 7(2): 110-124.
[6] 陈晓红, 徐敏婕, 陈武华. 考虑成本、等待时间和安全水平的分类安检模式研究[J]. 运筹与管理, 2021, 30(7): 35-43.
[7] 赵振武, 唐玉丽, 麻建军. 基于旅客分类的机场安检系统研究[J]. 综合运输, 2017, 39(3): 37-41.
[8] Nie, X., Parab, G., Batta, R., et al. (2012) Simulation-Based Selectee Lane Queueing Design for Passenger Check Point Screening. European Journal of Operational Research, 219, 146-155. [Google Scholar] [CrossRef
[9] Wang, C. (2017) Arena Simulation for Aviation Passenger Securi-ty-Check Systems. Genetic and Evolutionary Computing, 536, 95-102. [Google Scholar] [CrossRef
[10] Nie, X., Parab, G., et al. (2009) Passenger Grouping with Risk Levels in an Airport Security System. European Journal of Operational Research, 194, 574-584. [Google Scholar] [CrossRef
[11] McLay, L., Jacobson, S. and Kobza, J. (2007) Integer Programming Models and Analysis for a Multilevel Passenger Screening Problem. IIE Transactions, 39, 73-81. [Google Scholar] [CrossRef
[12] Papa, P. (2013) US and EU Strategies for Maritime Transport Security: A Comparative Perspective. Transport Policy, 28, 75-85. [Google Scholar] [CrossRef
[13] Virta, J., Jacobson, S. and Kobza, J. (2003) Analyzing the Cost of Screening Selectee and Non-Selectee Baggage. Risk Analysis: An International Journal, 23, 897-908. [Google Scholar] [CrossRef] [PubMed]
[14] 赵振武, 麻建军. 民航机场安检排队系统的发展趋势与研究[J]. 综合运输, 2016, 38(10): 64-69.
[15] 杨媛元, 吴一飞, 蓝子睿, 王嘉文, 涂念之. 虚拟排队系统在机场安检中的应用[J]. 科技创新与应用, 2018(24): 162-163.
[16] 杨媛元, 吴一飞, 蓝子睿, 王嘉文, 涂念之. 机场旅客安检虚拟排队系统的设计与实现[J]. 电子技术与软件工程, 2018(14): 32.
[17] 麻建军. 虚拟排队在民航安检系统中的应用[J]. 科技与创新, 2016(19): 34-35.
[18] Cope III, R.F., Cope, R.F. and Davis, H.E. (2008) Disneys Virtual Queues: A Strategic Opportunity to Co-Brand Services? Journal of Business & Economics Research (JBER), 6, 13-20. [Google Scholar] [CrossRef
[19] Lutz, H. (2008) The Impact of Virtual Queues for Amusement Parks. Annual Meeting Proceedings. Decision Sciences Institute, Houston.
https://www.researchgate.net/publication/253662168_THE_IMPACT_OF_VIRTUAL_QUEUES_FOR_AMUSEMENT_PARKS
[20] 陆船赉. 排队论[M]. 北京: 北京邮电大学出版社, 1993.
[21] Ivo, A. and Jacques, R. (2015) Queueing Systems. Eindhoven University of Technology, Eindhoven.
[22] 林怀银. CADAS: 如何评估民航出行的竞争力[EB/OL].
http://news.carnoc.com/list/591/591723html, 2022-09-14.