Asymptotic optimality of the queue service probability for the radial basis function network-based queue selection rule

Abstract:The design of airport queuing networks is a significant research field currently for researchers. Many factors must to be considered in order to achieve the optimized strategies, including the passenger flow volume, boarding time, and boarding order of passengers. Optimizing these factors lead to the sustainable development of the queuing network, which currently faces a few difficulties. In particular, the high variance in checkpoint lines can be extremely costly to passengers as they arrive unduly early or possibly miss their scheduled flights. In this article, the Monte Carlo method is used to design the queuing network so as to achieve sustainable development. Thereafter, a network diagram is used to determine the critical working point, and design a structurally and functionally sustainable network. Finally, a case study for a sustainable queuing-network design in the airport is conducted to verify the efficiency of the proposed model. Specifically, three sustainable queuing-network design solutions are proposed, all of which not only maintain the same standards of security, but also increase checkpoint throughput and reduce passenger waiting time variance.

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Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method

Zhou

Dou

et al. 2018

Sustainability

342

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Asymptotic optimality of the queue service probability for the radial basis function network-based queue selection rule

Cited by 1 publication

References 38 publications

Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method

Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method

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