MARC 主機 00000nam  2200349   4500 
001    AAI3363010 
005    20101122150554.5 
008    101122s2009    ||||||||||||||||| ||eng d 
020    9781109223071 
035    (UMI)AAI3363010 
040    UMI|cUMI 
100 1  Lee, Adrian Jenkyn 
245 10 Optimality, uncertainty, and performance of passenger 
       screening in aviation security systems 
300    149 p 
500    Source: Dissertation Abstracts International, Volume: 70-
       06, Section: B, page: 3718 
500    Adviser: Srinivasa M. Salapaka 
502    Thesis (Ph.D.)--University of Illinois at Urbana-Champaign,
       2009 
520    The design of aviation security systems has become 
       increasingly important over the past decade. Passenger and
       baggage screening is an essential component of aviation 
       security that aids in the detection and removal of threats
       endangering the safety of air transportation. Upon 
       entering the security checkpoint, passengers are assigned 
       to security classes defined by a set of detection devices.
       However, due to limited budget and personnel resources, as
       well as constraints on the detection device capacities, 
       only a fraction of the passengers may be screened at the 
       highest security levels 
520    This dissertation develops optimal policies that 
       sequentially assign passengers to a multi-level security 
       class framework by maximizing the overall true alarm rate.
       Through both a probabilistic analysis and feedback 
       linearization, a closed-loop policy is obtained that 
       achieves desired security class occupancies for a finite 
       set of passengers anticipated to undergo screening during 
       a given time period. Measures are presented that compare 
       the performance of sequential passenger assignment 
       policies with respect to the retrospective optimal 
       solution. Uncertainty in passenger risk is addressed by 
       first generalizing the sequential stochastic assignment 
       problem, involving the assignment of workers to 
       sequentially arriving jobs, where uncertainty lies in the 
       job value distribution. Three estimators are presented 
       that address various levels of uncertainty while 
       simultaneously improving worker assignments. Then, these 
       estimation algorithms are used to decrease the sensitivity
       to variations in the passenger risk. Finally, the multi-
       level security model is extended to incorporate the 
       queueing process within the passenger assignment decision.
       An optimal, open-loop policy is obtained which minimizes 
       the expected amount of time a passenger spends in the 
       security system, while an optimal, closed-loop policy is 
       obtained that balances the expected number of true alarms 
       with the expected amount of time a passenger spends in the
       security system 
520    The future direction of aviation security system design 
       involves creating a system of systems with layers of 
       protection, and exhibits flexibility to quickly protect 
       against new threats. This dissertation provides 
       methodologies that increase security and passenger 
       throughput by efficiently and effectively utilizing 
       limited screening resources, while responsively adapting 
       to changing threat environments 
590    School code: 0090 
650  4 Engineering, Industrial 
650  4 Operations Research 
690    0546 
690    0796 
710 2  University of Illinois at Urbana-Champaign 
773 0  |tDissertation Abstracts International|g70-06B 
856 40 |uhttp://pqdd.sinica.edu.tw/twdaoapp/servlet/
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