Aviation security screening optimizer for risk and throughput (ASSORT)

Robert Brigantic (), Jennifer Willis, Rachel Pulliam, Brian Lewis, Julianna Puccio, Kathryn Otte, Emily Bonus, Brenda Forland, Nick Betzsold, Atithi Bharth, Jonathan Mills and Casey Perkins
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Robert Brigantic: Pacific Northwest National Laboratory (PNNL)
Jennifer Willis: Pacific Northwest National Laboratory (PNNL)
Rachel Pulliam: Pacific Northwest National Laboratory (PNNL)
Brian Lewis: Noblis, Inc.
Julianna Puccio: Pacific Northwest National Laboratory (PNNL)
Kathryn Otte: Pacific Northwest National Laboratory (PNNL)
Emily Bonus: Pacific Northwest National Laboratory (PNNL)
Brenda Forland: Pacific Northwest National Laboratory (PNNL)
Nick Betzsold: Pacific Northwest National Laboratory (PNNL)
Atithi Bharth: Pacific Northwest National Laboratory (PNNL)
Jonathan Mills: Pacific Northwest National Laboratory (PNNL)
Casey Perkins: Pacific Northwest National Laboratory (PNNL)

Journal of Transportation Security, 2024, vol. 17, issue 1, No 21, 26 pages

Abstract: Abstract The increasing number of air travelers each year presents a challenge as many airports are near their capacity in terms of resources and space for passenger screening. Fortunately, advancements in technologies like next-generation millimeter wave scanning offer solutions to ease this strain. The focus remains on managing risk while enhancing the passenger experience for the traveling public. The risk model presented in this paper known as the Aviation Security Screening Optimizer for Risk and Throughput (ASSORT) is designed to assess risk-based approaches for passenger screening and checkpoint operations. Additionally, ASSORT is exploring various traveler categories — general, trusted, and trusted-plus — along with different checkpoint screening Concept of Operations tailored to each traveler type. For instance, travelers with a higher trust level may experience fewer screening technologies, resulting in quicker processing times at the checkpoint. The output of ASSORT provides a risk score for predefined threat scenarios, as well as the overall risk to the checkpoint, aircraft, and airport by traveler type. Benefits of using this tool include assessing the trade-offs between the overall risk associated with checkpoints and the throughput rate of passengers screened. We show for example the impact that different passenger volumes at the checkpoint can have on risk.

Keywords: Aviation security; Checkpoint; Risk algorithm; Risk quantification; Passenger throughput; Trust (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12198-024-00290-8

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