Abstract
In this paper, we have established a composite queuing network model on the basis of the queuing theory and combining with the current security system of the airport. We have made division of the whole security system into different processes which include ID check process, x-ray scanning process, and millimeter scanning process, and find out the unit of security system according to the proportion of different security lanes, what’s more, these processes were distinguished into different kinds of queuing system, and then, we established the queuing network using these different queuing model into the unit. We applied the method of computer simulation to analyze the bottleneck, and we find that ID check process in pre-check system is unstable based on the current proportion of pre-check lane. Meanwhile, we optimized the number of each unit using the system design model and prove the effectiveness by computer simulation, then, we optimized the service rate of the baggage and body screening in pre-check lane follow the above process. Finally, we further discussed development direction of this model.
Highlights
During 2016, U.S Transportation Security Agency (TSA) came under sharp criticism for extremely lengthy lines, in particular at Chicago’s O’Hare international airport
Existing research on airport queuing system, which mainly uses the methods of integer programming, queuing theory, Logit model, and Petri network combining with service model, Pro model and other simulation software, mainly focus on check-in and security system
This paper focuses on the stability of the current security system in the airport, analyzing the bottleneck of its processes, and optimizes the allocation of system resources based on queuing theory
Summary
During 2016, U.S Transportation Security Agency (TSA) came under sharp criticism for extremely lengthy lines, in particular at Chicago’s O’Hare international airport. Existing research on airport queuing system, which mainly uses the methods of integer programming, queuing theory, Logit model, and Petri network combining with service model, Pro model and other simulation software, mainly focus on check-in and security system. Jaromír Širokýfrom the University of Pardubice took the process of check-in and security services as the research object to establish the queuing theory model, and optimized the air transportation level and service level index using the Tecnomatix simulating software (Široký & Hlavsová, 2014). Yuanyuan Guo and her partner focus on the passenger volume combining with a variety of mathematical analysis methods which contains chaos theory, wavelet denoising method, and RBF neural network chaotic time series, and short-term passenger terminal traffic flow forecasting model is established (Guo, 2013). This paper focuses on the stability of the current security system in the airport, analyzing the bottleneck of its processes, and optimizes the allocation of system resources based on queuing theory
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