基于广义随机Petri网的航站楼旅客离港流程优化  

Optimization of Terminal Passenger Departure Process Based on Generalized Stochastic Petri Nets

作　　者：李双龙 冯佳宾 冯晓磊[1] LI Shuanglong;FENG Jiabin;FENG Xiaolei(Airport College,Civil Aviation Flight University of China,Guanghan 618307,Sichuan,China)

机构地区：[1]中国民用航空飞行学院机场学院,四川广汉618307

出　　处：《科技和产业》2024年第22期309-317,共9页Science Technology and Industry

基　　金：中央高校基本科研业务费专项资金(ZHMH2022-002)。

摘　　要：为解决航站楼内旅客离港拥挤,排队等待时间过长问题,提出将值机服务与安检服务进行整体考虑,建立一个值机与安检服务的广义随机Petri网(GSPN)模型,寻找流程瓶颈。然后针对所得瓶颈提出优化方法,利用AnyLogic仿真软件进行优化前后对比仿真。仿真实验结果表明,优化后单位小时内通过的旅客数提升9.88%,航站楼内值机安检平均逗留时间降低6.96%。提出的优化方法有效解决了航站楼旅客离港瓶颈问题,有助于提升航站楼吞吐量。To solve the problem of crowded departure and long waiting times for passengers in terminal buildings,a generalized stochastic Petri net(GSPN)model was proposed under the consideration of check-in and security check services as a whole to find the process bottleneck.Then,an optimization method was proposed to address the identified bottleneck.Meanwhile,a comparative simulation was conducted by using AnyLogic simulation software before and after optimization.The experimental results show that after optimization,the number of passengers passing per unit hour has increased by 9.88%,the average stay time for check-in and security checks in the terminal has decreased by 6.96%.This method can effectively solves the bottleneck problem of passenger departure in the terminal and improve the throughput of the terminal.

关 键 词：航站楼 流程优化 广义随机Perti网 马尔可夫链 ANYLOGIC 

分 类 号：V351[航空宇航科学与技术—人机与环境工程]