Partially observable Markov decision processes for risk-based screening

Published

Conference Paper

© 2016 SPIE. A long-term goal for checked baggage screening in airports has been to include passenger information, or at least a predetermined passenger risk level, in the screening process. One method for including that information could be treating the checked baggage screening process as a system-of-systems. This would allow for an optimized policy builder, such as one trained using the methodology of partially observable Markov decision processes (POMDP), to navigate the different sensors available for screening. In this paper we describe the necessary steps to tailor a POMDP for baggage screening, as well as results of simulations for specific screening scenarios.

Full Text

Duke Authors

Cited Authors

  • Mrozack, A; Liao, X; Skatter, S; Carin, L

Published Date

  • January 1, 2016

Published In

Volume / Issue

  • 9847 /

Electronic International Standard Serial Number (EISSN)

  • 1996-756X

International Standard Serial Number (ISSN)

  • 0277-786X

International Standard Book Number 13 (ISBN-13)

  • 9781510600881

Digital Object Identifier (DOI)

  • 10.1117/12.2230764

Citation Source

  • Scopus