基于传染病模型的飞机客舱旅客布局方案设计

taptap点点手机网页 ›› 2025, Vol. 43 ›› Issue (3): 32-37.

基于传染病模型的飞机客舱旅客布局方案设计

taptap下载安装安卓空中交通管理学院，天津 300300

收稿日期:2023-03-01 修回日期:2023-05-25 出版日期:2025-07-12 发布日期:2025-07-12
作者简介:谷润平（1971— ），男，陕西榆林人，教授，硕士，研究方向为飞机性能与运行安全
基金资助:
国家自然科学基金项目（52272356）；taptap下载安装安卓研究生科研创新项目（2021YI8082）

Design of aircraft cabin passenger layout scheme based on infectious disease model

College of Air Traffic Management, CAUC, Tianjin 300300, China

Received:2023-03-01 Revised:2023-05-25 Online:2025-07-12 Published:2025-07-12

摘要/Abstract

摘要：

针对疫情传播期间飞机客舱内可能出现旅客相互传染的风险问题，优化客舱旅客布局方案，减小旅客病毒

感染概率是非常必要的。通过研究病毒在飞机客舱内的传播规律，分析客舱中个人被病毒感染概率的影响

因素和病毒脱落率，以旅客与座位匹配作为决策变量，并以客舱旅客受周围其他旅客的病毒脱落率影响之

和最小作为目标函数，基于旅客组团乘机特性建立旅客分组客舱座位分配模型；设计改进遗传算法，对该

模型进行求解，并利用 Matlab 实现了该算法。以 A320 机型为例，通过对 3 种不同旅客分组布局案例进行

测试，结果表明：本文模型和算法能够在可接受时间内给出一种优化的座位分配方案，降低旅客间相互传

染的概率。

关键词:

传染病模型, 旅客布局, 座位分配, 遗传算法

Abstract:

During the spread of the epidemic, regarding the risk of passengers of mutual infection in the aircraft cabin, it is

very necessary to optimize the layout scheme of passengers in the cabin and reduce the virus infection probability of

passenger. By studying the law of virus transmission in the aircraft cabin, this paper analyzed the influencing

factors of the probability of individuals being infected by the virus and the virus shedding rate in the cabin. The

match between passenger and seat was used as the decision variable, and the minimum sum of the cabin passengers

affected by the virus shedding rate of other passengers around was used as the objective function. Based on the

characteristics of passenger group flight, a allocation model for the passenger group cabin seat was established. This

paper designed an improved genetic algorithm, solved the model, and realized the algorithm using Matlab. Taking

A320 aircraft as an example, three passenger cases with different group layouts were tested. The results showed that

the proposed model and algorithm can provide an optimized seat allocation scheme within an acceptable time and

reduce the probability of infection among passengers.

Key words:

infectious disease model, passenger layout, seat allocation, genetic algorithm

中图分类号:

V223+ .2

谷润平, 张扬宗, 刘家明.

基于传染病模型的飞机客舱旅客布局方案设计

[J]. taptap下载安装安卓学报, 2025, 43(3): 32-37.

GU Runping, ZHANG Yangzong, LIU Jiaming.

Design of aircraft cabin passenger layout scheme based on infectious disease model

[J]. Journal of Civil Aviation University of China, 2025, 43(3): 32-37.

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