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An Application of Queueing Theory to Airport Passenger Security Screening

Author

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  • Ronald R. Gilliam

    (Lockheed Aircraft Service Company, Ontario International Airport, Ontario, California 91761)

Abstract

Analytical queueing models have frequently been found impractical for many types of real-world problems, owing chiefly to the inability of queueing systems to change their parameters in response to fluctuations in traffic intensity. One type of practical problem that fits the simple classical queueing models quite well, however, is the passenger security screening operation found at modern airports. These service facilities (security checkpoints) must always be available, the service (screening procedures) must be unvarying, and the airline passengers have no practical alternative to accepting this service. Careful analytical planning is needed in advance of facilities and systems design, as the results of congestion could be both serious and expensive to travelers, airlines, and airports. The application described in this paper helped our organization design passenger screening facilities for a very large international airport to be built in the Middle East.

Suggested Citation

  • Ronald R. Gilliam, 1979. "An Application of Queueing Theory to Airport Passenger Security Screening," Interfaces, INFORMS, vol. 9(4), pages 117-123, August.
    • Handle: RePEc:inm:orinte:v:9:y:1979:i:4:p:117-123
    DOI: 10.1287/inte.9.4.117
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    Citations

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    Cited by:

    1. Leone, Kelly & Das, Sanchoy, 2010. "Operating characteristics of passenger screening processes and the development of a paced inspection system," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207254, Transportation Research Forum.
    2. Hainen, Alexander M. & Remias, Stephen M. & Bullock, Darcy M. & Mannering, Fred L., 2013. "A hazard-based analysis of airport security transit times," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 32-38.
    3. Jacobson, Sheldon H. & Kobza, John E. & Nakayama, Marvin K., 2000. "A sampling procedure to estimate risk probabilities in access-control security systems," European Journal of Operational Research, Elsevier, vol. 122(1), pages 123-132, April.
    4. de Lange, Robert & Samoilovich, Ilya & van der Rhee, Bo, 2013. "Virtual queuing at airport security lanes," European Journal of Operational Research, Elsevier, vol. 225(1), pages 153-165.
    5. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    6. Wang, Xiaofang & Zhuang, Jun, 2011. "Balancing congestion and security in the presence of strategic applicants with private information," European Journal of Operational Research, Elsevier, vol. 212(1), pages 100-111, July.
    7. Lazar Babu, Vellara L. & Batta, Rajan & Lin, Li, 2006. "Passenger grouping under constant threat probability in an airport security system," European Journal of Operational Research, Elsevier, vol. 168(2), pages 633-644, January.
    8. Li, Yongli & Gao, Xin & Xu, Zhiwei & Zhou, Xuanrui, 2018. "Network-based queuing model for simulating passenger throughput at an airport security checkpoint," Journal of Air Transport Management, Elsevier, vol. 66(C), pages 13-24.
    9. Chiti, Francesco & Fantacci, Romano & Rizzo, Andrea, 2018. "An integrated software platform for airport queues prediction with application to resources management," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 11-18.
    10. Pitchforth, Jegar & Wu, Paul & Fookes, Clinton & Mengersen, Kerrie, 2015. "Processing passengers efficiently: An analysis of airport processing times for international passengers," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 35-45.

    More about this item

    Keywords

    queues: applications; transportation: air;

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