Queuing Strategy Optimization with Restricted Service Resources

被引:1
|
作者
Liu, Jiaming [1 ]
Qi, Xingqun [1 ]
Xu, Yimeng [1 ]
Chen, Yanda [2 ]
Zhang, Chuang [2 ]
机构
[1] Beijing Univ Posts & Telecommun, Int Sch, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
Security system; Queuing theory; MMS; Poisson distribution; Network science; Target loop checkpoint system; CNN;
D O I
10.1007/s11277-018-5295-3
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:2681 / 2699
页数:19
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