Research on reliability optimization of airport passenger security system

doi:10.16265/j.cnki.issn1003-3033.2023.08.1356

Abstract

Abstract:

In order to improve the reliability of the airport passenger security system, the dual-device parallel security system was adopted. The security system consisted of a walk-through metal door and the millimeter wave body imaging device. According to the performance indicators of each equipment and passenger allocation rules, the system's false clear rate and false alarm rate were constructed by using probability theory. Formulating an optimization model of minimizing false clear rate, the particle swarm optimization(PSO) algorithm was used to solve problems limited by false alarm rate and device inspection time. The results show that using optimal decision variables can make the minimum false clear rate fluctuate in the range of 0.008 5-0.01. When the proportion of passengers carrying threat items increases, the minimum false clear rate will increase. When the upper limit of false alarm rate increases, the minimum false clear will first decrease and then stabilize.

Key words: airport passenger, security system, reliability, optimization model, false clear rate, false alarm rate

ZHAO Zhenwu, WANG Junjie, ZHANG Yi. Research on reliability optimization of airport passenger security system[J]. China Safety Science Journal, 2023, 33(8): 182-189.

Figures/Tables 16

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Tab.1

Model parameter setting

$i = 1,2$	$μ i$	$σ i$	$α i$	$β i$	$x i$	$t i$ /s	$t i v$ /s
T	8,8	0.8,1	0.1,0.1	0.05,0.05	[6,8],[5,7]	2,12	4,20
$T ¯$	5,4	1,1.2	0.1,0.1	0.05,0.05	[6,8],[5,7]	2,12	4,20

Tab.1

Tab.2

Judge function

Algorithm 1 Penalty Procedure
Function $j (s i)$ for each particle i if $P (A \| T ¯) ≤ ξ$ and $H D i ≤ δ i$ $P (A ¯ \| T) = f (s i)$ else $P (A ¯ \| T) = 100$ end if return $P (A ¯ \| T)$ end for end Function

Tab.2

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References 18

[1]	冯文刚. 基于深度长短记忆模型的民航安保事件分析[J]. 中国安全科学学报, 2021, 31(9):1-7. doi: 10.16265/j.cnki.issn1003-3033.2021.09.001
	FENG Wen'gang. Research on civil aviation security event analysis based on deep LSTM model[J]. China Safety Science Journal, 2021, 31(9):1-7. doi: 10.16265/j.cnki.issn1003-3033.2021.09.001
[2]	SAHIN H. A mathematical framework for sequential passenger and baggage screening to enhance aviation security[J]. Computers & Industrial Engineering, 2009, 57(1): 148-155. doi: 10.1016/j.cie.2008.11.005
[3]	赵振武, 李新源, 唐玉丽. 机场2阶段安检系统设计与性能分析[J]. 中国安全科学学报, 2018, 28(8): 81-86. doi: 10.16265/j.cnki.issn1003-3033.2018.08.014
	ZHAO Zhenwu, LI Xinyuan, TANG Yuli. Design and performance analysis of airport two-stage security check system[J]. China Safety Science Journal, 2018, 28(8):81-86. doi: 10.16265/j.cnki.issn1003-3033.2018.08.014
[4]	NIE Xiaofeng. The impact of conditional dependence on checked baggage screening[J]. European Journal of Operational Research, 2019, 278(3): 883-893. doi: 10.1016/j.ejor.2019.04.034
[5]	陈晓红, 徐敏婕, 陈武华. 考虑成本, 等待时间和安全水平的分类安检模式研究[J]. 运筹与管理, 2021, 30(7): 35-43. doi: 10.12005/orms.2021.0211
	CHEN Xiaohong, XU Minjie, CHEN Wuhua. Research on classified security inspection mode considering cost, waiying time and security level[J]. Operations Research and Management Science, 2021, 30(7):125-130.
[6]	CONCHO A L, RAMIREZ-MARQUEZ J E. A mathematical framework for passenger screening optimization via a multi-objective evolutionary approach[J]. Computers & Industrial Engineering, 2012, 62(4): 839-850. doi: 10.1016/j.cie.2011.11.031
[7]	SEWELL E C, LEE A J, JACOBSON S H. Optimal allocation of aviation security screening devices[J]. Journal of Transportation Security, 2013, 6(2): 103-116. doi: 10.1007/s12198-013-0106-2
[8]	RIZK C, MORA-CAMINO F, BATATIA H. Optimization of passenger screening operations in air terminals[J]. Transportation Research Procedia, 2018, 35(1): 23-34. doi: 10.1016/j.trpro.2018.12.004
[9]	NIE Xiaofeng, PARAB G, BATTA R, et al. Simulation-based selectee lane queueing design for passenger checkpoint screening[J]. European Journal of Operational Research, 2012, 219(1): 146-155. doi: 10.1016/j.ejor.2011.12.012
[10]	ANDERSON D. Optimising multi-layered security screening[J]. Journal of Transportation Security, 2021, 14(3): 249-273. doi: 10.1007/s12198-021-00237-3
[11]	CONCHO A L, RAMIREZ-MARQUEZ J E. An evolutionary algorithm for port-of-entry security optimization considering sensor thresholds[J]. Reliability Engineering & System Safety, 2010, 95(3): 255-266. doi: 10.1016/j.ress.2009.10.006
[12]	ALBERT L A, NIKOLAEV A, LEE A J, et al. A review of risk-based security and its impact on TSA PreCheck[J]. IISE Transactions, 2020, 53(6): 657-670. doi: 10.1080/24725854.2020.1825881
[13]	SETH S, FENG Q M. A multi-level weighted alarm security system for passenger and checked-baggage screening[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2021, 236(4): 1-11.
[14]	MCLAY L A, JACOBSON S H, KOBZA J E. A multilevel passenger screening problem for aviation security[J]. Naval Research Logistics (NRL), 2006, 53(3): 183-197. doi: 10.1002/(ISSN)1520-6750
[15]	ELIAS B. Airport body scanners: the role of advanced imaging technology in airline passenger screening[C]. Congressional Research Service, Library of Congress, 2012:1-15.
[16]	刘嘉豪, 余杨, 张振兴, 等. 二维云模型和贝叶斯网络的立管风险评估方法[J]. 中国安全科学学报, 2022, 32(5): 147-154. doi: 10.16265/j.cnki.issn1003-3033.2022.05.0699
	LIU Jiahao, YU Yang, ZHANG Zhenxing, et al. Risk assessment method of risers based on two-dimensional cloud model and BN[J]. China Safety Science Journal, 2022, 32(5):147-154. doi: 10.16265/j.cnki.issn1003-3033.2022.05.0699
[17]	SONG Cen, ZHUANG Jun. Modeling precheck parallel screening process in the face of strategic applicants with incomplete information and screening errors[J]. Risk Analysis, 2018, 38(1): 118-133. doi: 10.1111/risa.12822 pmid: 28556354
[18]	NIE Xiaofeng. Optimization and resource allocation models in an aviation security system[M]. New York: State University of New York at Buffalo, 2008:40-43.