A mathematical framework for sequential passenger and baggage screening to enhance aviation security

To enhance security at both national and global levels, airport security screening systems must be designed with high efficiency and effectiveness, which are affected by both screening technologies and operational procedures for utilizing those technologies. The operational efficiency and aviation security can be enhanced if an effective passenger prescreening system is integrated into the baggage screening system. In this paper, passenger information is incorporated into a two-level checked-baggage screening system to determine the screening strategy for different subsets of passengers. By deploying a passenger prescreening system, this paper considers selectively applying baggage screening procedures for 100% screening. Since new image-based screening technologies differ widely in cost and accuracy, a comprehensive mathematical framework is developed in this paper for selecting technology or combination of technologies for efficient 100% baggage screening. The objective is to determine the optimal combination of technologies and the setting of threshold values for these screening technologies as well. Probability and optimization techniques are used to quantify and evaluate the risk and cost-effectiveness of various device deployment configurations, which are captured by using a system life-cycle cost model. Numerical analysis for all possible system arrangements is demonstrated.

[1]  Qianmei Feng.  On determining specifications and selections of alternative technologies for airport checked-baggage security screening. , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  Marvin Rausand,et al.  Bayesian Reliability Analysis , 2008, System Reliability Theory.

[3]  William C. Guenther,et al.  On the Determination of Single Sampling Attribute Plans Based upon a Linear Cost Model and a Prior Distribution , 1971 .

[4]  Art Kosatka.  Recommended Security Guidelines for Airport Planning, Design and Construction , 2011 .

[5]  Julie L Virta,et al.  Analyzing the cost of screening selectee and non-selectee baggage. , 2003, Risk analysis : an official publication of the Society for Risk Analysis.

[6]  Sheldon Howard Jacobson,et al.  Probability models for access security system architectures , 1997 .

[7]  Sheldon Howard Jacobson,et al.  A Detection Theoretic approach to Modeling Aviation Security Problems using the Knapsack Problem , 2001 .

[8]  Geoffrey D. Gosling,et al.  Safe At Home? An Experiment in Domestic Airline Security , 2001, Oper. Res..

[9]  Sheldon H Jacobson,et al.  A Cost‐Benefit Analysis of Alternative Device Configurations for Aviation‐Checked Baggage Security Screening , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[10]  Sheldon H. Jacobson,et al.  A Sequential Stochastic Security System Design Problem for Aviation Security , 2007, Transp. Sci..

[11]  Amy E. Simms.  A Stochastic Approach to Modeling Aviation Security Problems Using the KNAPSACK Problem , 1997 .

[12]  Arnold Barnett,et al.  CAPPS II: The Foundation of Aviation Security? , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[13]  Sheldon Howard Jacobson,et al.  Integer programming models and analysis for a multilevel passenger screening problem , 2007 .

[14]  Sheldon H. Jacobson,et al.  Designing optimal aviation baggage screening strategies using simulated annealing , 2004, Comput. Oper. Res..

[15]  Stephen R. Petersen,et al.  Life-cycle costing manual for the Federal Energy Management Program , 1996 .

[16]  Sheldon Howard Jacobson,et al.  Addressing the dependency problem in access security system architecture design , 1996 .

[17]  Butler,et al.  RE-THINKING CHECKED-BAGGAGE SCREENING , 2002 .

[18]  Kailash C. Kapur,et al.  Designing airport checked-baggage-screening strategies considering system capability and reliability , 2009, Reliab. Eng. Syst. Saf..