窄体客机慢速优先登机策略建模与分析

doi:10.16097/j.cnki.1009-6744.2025.03.028

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (3): 308-320.DOI: 10.16097/j.cnki.1009-6744.2025.03.028

窄体客机慢速优先登机策略建模与分析

马剑^*a，何欢^a，王巧^a，廖伟屹^a，陈俊^b，施冬冬^a，邱云飞^a

西南交通大学，a.交通运输与物流学院；b.地球科学与工程学院，成都610031

收稿日期:2025-02-11 修回日期:2025-03-28 接受日期:2025-04-09 出版日期:2025-06-25 发布日期:2025-06-22
作者简介:马剑(1983—)，男，江苏徐州人，教授。
基金资助:
国家自然科学基金(72104205, 71871189)。

Modeling Analysis of Slow First Boarding Strategy for Narrow-body Aircraft

MA Jian^*a, HE Huan^a, WANG Qiao^a, LIAO Weiyi^a, CHEN Jun^b, SHI Dongdong^a, QIU Yunfei^a

a. School of Transportation and Logistics; b. Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China

Received:2025-02-11 Revised:2025-03-28 Accepted:2025-04-09 Online:2025-06-25 Published:2025-06-22
Supported by:
Nation Nature Science Foundation of China (72104205, 71871189)。

摘要/Abstract

摘要： 登机过程是航空周转流程的关键环节，缩短乘客登机过程是降低运营成本的重要手段。本文在随机登机(Random)、由后向前(BF3)和从窗到过道(WA3)等传统登机策略中引入慢速优先(SF)，即大件行李携带者优先登机原则，提出慢速优先登机策略，建立慢速优先元胞自动机登机模型，刻画舱内乘客间的冲突，模拟单通道客机的乘客登机过程。仿真结果表明，多数场景中，引入SF能缩短登机流程，提高登机效率，但SF策略划分乘客登机次序与传统登机策略中优先级设置的组合会不同程度地影响乘客登机效率，BF3SF策略与SF-WA3策略不能提高登机效率，不同策略对放行间隔与携带大件行李占比的敏感性也不同。本文还探讨了航班客座率对各策略登机时间稳定性的影响，在慢速优先登机策略中，SF-BF3、SF-Random和WA3-SF策略可缩短登机时间，其中，WA3-SF策略所需的登机时间最短。总的来说，改进后的WA3-SF策略为最优策略。

关键词: 航空运输, 慢速优先, 模拟仿真, 窄体客机, 登机策略, 登机干扰

Abstract: Passenger boarding is a key part of the airplane turn-around process, and an efficient boarding process can help reducing operation costs. Based on the traditional boarding strategy, this paper introduces a Slow First boarding (SF) principle, for example, giving priority to those large luggage carriers, and proposes some improved or new strategies. Then, slow first cellular automaton boarding model is developed to depict the conflicts among passengers in the cabin and simulate the boarding process of passengers in a narrow-body aircraft. The simulation results show that the introduction of the SF in most scenarios can reduce the boarding time and improve the boarding efficiency, but the priority setting when combining SF with the traditional boarding strategy to divide the boarding order of passengers will affect the boarding efficiency of passengers in varying degrees. The BF3-SF (Back-to Front-Slow First) strategy and SF-WA3 (Slow First-Window-to-Aisle) strategy cannot improve the boarding efficiency. Different strategies have different sensitivities to the passenger release interval and the proportion of large luggage. This paper also analyzes the influence of flight load factor on the stability of boarding time of each strategy. Among the Slow First boarding strategies, BF3 SF, SF-Random, and WA3-SF strategies can reduce the boarding time, and the WA3-SF strategy requires the shortest boarding time. In general, the improved WA3-SF strategy is the optimal strategy.

Key words: air transportation, slow first boarding, simulation, narrow-body aircraft, boarding strategy, boarding interference

中图分类号:

马剑, 何欢, 王巧, 廖伟屹, 陈俊, 施冬冬, 邱云飞. 窄体客机慢速优先登机策略建模与分析[J]. 交通运输系统工程与信息, 2025, 25(3): 308-320.

MA Jian, HE Huan, WANG Qiao, LIAO Weiyi, CHEN Jun, SHI Dongdong, QIU Yunfei. Modeling Analysis of Slow First Boarding Strategy for Narrow-body Aircraft[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(3): 308-320.

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参考文献

[1]强生杰.航空登机过程微观理论建模与登机策略优化[D]. 北京: 北京交通大学, 2017. [QIANG S J. Microscopic theoretical modeling of airplane boarding process and boarding strategy optimization[D]. Beijing: Beijing Jiaotong University, 2017.] [2]MALANDRI C, MANTECCHINI L, REIS V. Aircraft turnaround and industrial actions: How ground handlers' strikes affect airport airside operational efficiency[J]. Journal of Air Transport Management, 2019, 78: 23-32.

[3]任新惠,岳一笛.航班定制化的旅客登机策略选择[J].综合运输,2019,41(10): 96-102. [REN X H, YUE Y D. Flight-customized boarding strategy dynamic selection [J]. China Transportation Review, 2019, 41(10): 96-102.]

[4]MILNE R J, KELLY A R. A new method for boarding passengers onto an airplane[J]. Journal of Air Transport Management, 2014, 34: 93-100.

[5]NYQUIST D C, MCFADDEN K L. A study of the airline boarding problem[J]. Journal of Air Transport Management, 2008, 14(4): 197-204.

[6]FEN J H, HOTCHKISS J. Experimental test of airplane boarding methods[J]. Journal of Air Transport Management, 2012, 18(1): 64-67.

[7]任新惠,张思雨.航空旅客登机策略研究综述[J].长安大学学报(社会科学版),2016,18(1): 30-35. [REN X H, ZHANG S Y. Overview of researches on passengers aircraft boarding[J]. Journal of Chang'an University (Social Science Edition), 2016, 18(1): 30-35.]

[8]TANG T Q, YANG S P, CHEN L. An extended boarding strategy accounting for the luggage quantity and group behavior [J]. Journal of Advanced Transportation, 2019, 2019: 1-12.

[9]QIANG S J, JIA B, XIE D F, et al. Reducing airplane boarding time by accounting for passengers' individual properties: A simulation based on cellular automaton[J]. Journal of Air Transport Management, 2014, 40: 42-47.

[10] ERLAND S, KAUPUŽS J, STEINER A, et al. Lorentzian geometry and variability reduction in airplane boarding: Slow passengers first outperforms random boarding[J]. Physical Review E, 2021, 103(6): 062310-062310.

[11] ERLAND S, KAUPUŽS J, FRETTE V, et al. Lorentzian geometry-based analysis of airplane boarding policies highlights "slow passengers first" as better[J]. Physical Review E, 2019, 100(6): 062313-062313.

[12] 尚华艳,陆化普,彭愚.基于元胞自动机的乘客登机策略[J]. 清华大学学报(自然科学版),2010,50(9): 1330-1333. [SHANG H Y, LU H P, PENG Y. Aircraft boarding strategy based on cellular automata[J]. Journal of Tsinghua University Science Technology, 2010, 50(9): 1330-1333.]

[13] FERRARI P, NAGEL K. Robustness of efficient passenger boarding strategies for airplanes[J]. Transportation Research Record, 2005, 1915(1): 44-54.

[14] 马剑, 廖伟屹,陈娟,等.基于乘客超越行为建模的航空登机效率分析[J].交通运输系统工程与信息,2022, 22(4): 255-267. [MA J, LIAO W Y, CHEN J, et al. Airplane boarding efficiency analysis considering passenger overtaking behaviors[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(4): 255-267.]

[15] 中国民用航空局.2012—2023年民航行业发展统计公报[EB/OL]. (2024-05-31) [2025-02-01]. http://www. caac.gov.cn/ XXGK/XXGK/TJSJ/ 202405/t20240531_ 224333.html. [Civil Aviation Administration of China. 2012-2023 statistical bulletin on the development of civil aviation industry[EB/OL]. (2024- 05- 31) [2025 02-01]. http:// www. caac. gov. cn/ XXGK/ XXGK/ TJSJ/ 202405/t20240531_224333.html.]

窄体客机慢速优先登机策略建模与分析

Modeling Analysis of Slow First Boarding Strategy for Narrow-body Aircraft

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