Application of the Queuing Theory in Characterizing and Optimizing the Passenger Flow at the Airport Security

摘要：

　　This paper presents mathematics models that describe and optimizes the passenger flow at the airport security checkpoints by applying the queuing theory.Firstly,a Poisson process is used to estimate the flow of passengers waiting for going through the security.Then,the Poisson distribution is combined with a multiple M/M/s model.Following that,an arrival model with Gumbel extreme value estimation is described that predicts the busiest time in the busiest airport.Real case data collected from several major airports worldwide is used for creating a hybrid Poisson model to generate the simulation of passenger volume.After successfully characterizing the passenger flow mathematically,two methods for optimizing the passenger flow are then provided in two different respects: one is bypassing passengers and creating an express pass; while the other one promotes Pre-Check service application.

关键词： Queuing theory Poisson Process Gumbel extreme value estimation

作者: Mengjiao Wang

作者单位: Department of Economics,Finance,and Management University of Bristol,Bristol,BS8 1TH,UK

会议类型: 国际会议

会议名称: The 12th International Conference on Queueing Theory and Network Applications(第十二届排序理论与网络应用国际会议)(QTNA 2017)

会议地点: 河北秦皇岛

会议语种:英文

页码: 139-142

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）