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Queuing Strategy Optimization with Restricted Service Resources

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Abstract

Under the circumstance of congestion, the low-efficiency operation of security system is one of the major causes of frequent security incidents over the span of recent years. At the same time, identifying the potential bottleneck which disrupts the audience is an effective way to explore new solutions of security issues, and use mathematical models to develop the most efficient and effective security screening system. In this paper, the security system of Luzhniki stadium in 2018 is instance model. The queuing theory is used to construct the model (MMS), while according to the Poisson distribution and network science to analyze bottlenecks, models and results. Both practical and cultural factors are considered in the model optimization process. In this way, the target loop checkpoint system is designed, and the convolution neural network algorithm is added to the system to classify and dispose the captured images. The purpose is to improve security efficiency by increasing the flow of people in best use of space.

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Acknowledgements

This paper is supported by Major Program of the National Social Science Foundation of China under Grant No. 15ZDB154, National Basic Research Program of China (973 Program) under Grant No. 2012CB315805, and National Natural Science Foundation of China under Grant No. 71172135.

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Authors and Affiliations

  1. International School, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Jiaming Liu, Xingqun Qi & Yimeng Xu

  2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Yanda Chen & Chuang Zhang

Authors
  1. Jiaming Liu
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  2. Xingqun Qi
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  3. Yimeng Xu
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  4. Yanda Chen
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  5. Chuang Zhang
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Correspondence to Chuang Zhang.

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Cite this article

Liu, J., Qi, X., Xu, Y. et al. Queuing Strategy Optimization with Restricted Service Resources. Wireless Pers Commun 102, 2681–2699 (2018). https://doi.org/10.1007/s11277-018-5295-3

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  • DOI: https://doi.org/10.1007/s11277-018-5295-3

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