Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening

Naji, M; Al-Ani, A; Braytee, A; Anaissi, A; Kennedy, P

Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening

Naji, M Al-Ani, A

Braytee, A

Anaissi, A Kennedy, P

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Advances in Intelligent Systems and Computing, 2019, 927, pp. 923-935
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Naji, M
dc.contributor.author	Al-Ani, A https://orcid.org/0000-0002-8092-8954
dc.contributor.author	Braytee, A https://orcid.org/0000-0003-2561-6496
dc.contributor.author	Anaissi, A
dc.contributor.author	Kennedy, P https://orcid.org/0000-0001-7837-3171
dc.date	2019-03-27
dc.date.accessioned	2020-06-02T03:36:03Z
dc.date.available	2020-06-02T03:36:03Z
dc.date.issued	2019-01-01
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2019, 927, pp. 923-935
dc.identifier.isbn	9783030150341
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10453/141049
dc.description.abstract	© 2019, Springer Nature Switzerland AG. Airport security screening processes are essential to ensure the safety of both 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. It may also lead to delays for passengers and airlines. This paper proposes a novel queue formation method based on a queueing theory model augmented with a particle swarm optimisation method known as QQT-PSO to improve the average waiting time in airport security areas. Extensive experiments were conducted using real-world datasets collected from Sydney airport. Compared to the existing system, our method significantly reduces the average waiting time and operating cost by 11.89% compared to the one-queue formation.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.relation.ispartof	Workshops of the 33rd International Conference on Advanced Information Networking and Applications
dc.relation.isbasedon	10.1007/978-3-030-15035-8_91
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening
dc.type	Conference Proceeding
utslib.citation.volume	927
utslib.location.activity	Japan
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Students
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-02T03:35:54Z
pubs.finish-date	2019-03-29
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
pubs.start-date	2019-03-27
pubs.volume	927
utslib.start-page	923
dc.location	Switzerland

Abstract:

© 2019, Springer Nature Switzerland AG. Airport security screening processes are essential to ensure the safety of both 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. It may also lead to delays for passengers and airlines. This paper proposes a novel queue formation method based on a queueing theory model augmented with a particle swarm optimisation method known as QQT-PSO to improve the average waiting time in airport security areas. Extensive experiments were conducted using real-world datasets collected from Sydney airport. Compared to the existing system, our method significantly reduces the average waiting time and operating cost by 11.89% compared to the one-queue formation.

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http://hdl.handle.net/10453/141049