2014
DOI: 10.1016/j.jairtraman.2014.05.007
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Reducing airplane boarding time by accounting for passengers' individual properties: A simulation based on cellular automaton

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Cited by 86 publications
(87 citation statements)
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“…Indeed, boarding the passenger in an exact order makes the above three strategies tolerant of the time fluctuations induced by sequence randomness, or in other words, the stability is achieved. Note from Figure 9a, the three strategies that saved the most time are the Steffen, Steffen-lug, and CRBF, which agrees well with the simulation work done by [5]. A common feature of these three strategies is that they define an exact sequence of passengers and every passenger has to board at a given position that is planned in advance.…”
Section: Boarding and Deboarding Timesupporting
confidence: 78%
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“…Indeed, boarding the passenger in an exact order makes the above three strategies tolerant of the time fluctuations induced by sequence randomness, or in other words, the stability is achieved. Note from Figure 9a, the three strategies that saved the most time are the Steffen, Steffen-lug, and CRBF, which agrees well with the simulation work done by [5]. A common feature of these three strategies is that they define an exact sequence of passengers and every passenger has to board at a given position that is planned in advance.…”
Section: Boarding and Deboarding Timesupporting
confidence: 78%
“…The other is seat interference, which happens when a window or middle seat passenger is blocked by other passengers who are already sitting in the same half-row. Efforts have been made to reduce those two interferences in boarding time, and most of them are based on simulation works, either by discrete modeling [3][4][5][6] or by continuous modeling [7,8]. Various optimal boarding strategies are proposed to reduce boarding time.…”
Section: Introductionmentioning
confidence: 99%
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