Optimizing the Waiting Time for Airport Security Screening Using Multiple Queues and Servers

Airport security screening processes are essential to ensure the safety of passengers and the aviation industry. Security at airports has improved noticeably in recent years through the utilisation of state-of-the-art technologies and highly trained security officers. However, maintaining a high level of security can be costly to operate and implement and can cause delays for passengers and airlines. In optimising a security process it is essential to strike a balance between time delays, security and reduced operation cost. This paper uses queueing theory as a method to study the impact of queue formation and the size of the security area on the average waiting time for the case of multi-lane parallel servers. An experiment is conducted to validate the proposed approach.

[1]  Li Lin,et al.  Passenger grouping under constant threat probability in an airport security system , 2006, Eur. J. Oper. Res..

[2]  Jacek Skorupski,et al.  Multi-criteria group decision making under uncertainty with application to air traffic safety , 2014, Expert Syst. Appl..

[3]  Li Lin,et al.  Simulation-based Selectee Lane queueing design for passenger checkpoint screening , 2012, Eur. J. Oper. Res..

[4]  Sun Olapiriyakul,et al.  Design and Analysis of a Two-Stage Security Screening and Inspection System , 2007 .

[5]  Sheldon H. Jacobson,et al.  The impact of aviation checkpoint queues on optimizing security screening effectiveness , 2011, Reliab. Eng. Syst. Saf..

[6]  Rongfang Liu,et al.  Improving airport security screening checkpoint operations in the US via paced system design , 2011 .

[7]  Ahmed Al-Ani,et al.  Airport security screening process: A review , 2018 .

[8]  R R Martin Cejas.  TOURISM SERVICE QUALITY BEGINS AT THE AIRPORT , 2006 .

[9]  János Sztrik,et al.  Basic Queueing Theory , 2016 .

[10]  Benjamin Avi-Itzhak,et al.  QUANTIFYING FAIRNESS IN QUEUEING SYSTEMS: PRINCIPLES AND APPLICATIONS , 2004 .

[11]  Sلأren Asmussen,et al.  Applied Probability and Queues , 1989 .

[12]  Daniel H. Simon,et al.  The Impact of Post‐9/11 Airport Security Measures on the Demand for Air Travel , 2005, The Journal of Law and Economics.

[13]  Jacek Skorupski,et al.  A fuzzy system to support the configuration of baggage screening devices at an airport , 2016, Expert Syst. Appl..

[14]  Alan Kirschenbaum.  The cost of airport security: The passenger dilemma , 2013 .

[15]  William Wang,et al.  Imaging Technologies in Aviation Security , 2015 .

[16]  Roberto Rendeiro Martín-Cejas,et al.  Tourism service quality begins at the airport , 2006 .

[17]  Jun Zhuang,et al.  Balancing congestion and security in the presence of strategic applicants with private information , 2011, Eur. J. Oper. Res..

[18]  Robert B. Cooper,et al.  An Introduction To Queueing Theory , 2016 .

[19]  Jacek Skorupski,et al.  Managing the process of passenger security control at an airport using the fuzzy inference system , 2016, Expert Syst. Appl..

[20]  Robert B. Cooper,et al.  Queueing Theory , 2014, Encyclopedia of Social Network Analysis and Mining.

[21]  Ronald R. Gilliam.  An Application of Queueing Theory to Airport Passenger Security Screening , 1979 .

[22]  Jacek Skorupski,et al.  A fuzzy model for evaluating airport security screeners' work , 2015 .

[23]  Vesna Popovic,et al.  Passenger experience in an airport: an activity-centred approach , 2009 .

[24]  Jacek Skorupski,et al.  A fuzzy reasoning system for evaluating the efficiency of cabin baggage screening at airports , 2015 .

[25]  Jacek Skorupski,et al.  Fuzzy inference system for the efficiency assessment of hold baggage security control at the airport , 2015 .