机场安检通道调度的演化动态优化

D. Chitty, Shengxiang Yang, M. Gongora
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引用次数: 3

摘要

在保持乘客满意度的同时降低成本是机场面临的一个重要问题。这可以应用于机场的安全通道检查。然而,通过减少车道开放来降低成本通常会增加排队的长度,从而增加乘客的不满。本文证明了进化方法可以用于优化机场安全通道的安排,使乘客不满和人员成本可以最小化。然而,研究表明,这些时间表通常过度拟合乘客到达安全的预测,因此,在现实中,严重的乘客延误可能会发生偏离预测。因此,本文进一步证明了这些时刻表的动态进化再优化可以显著缓解这种过拟合问题,并大大减少乘客延误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary dynamic optimisation of airport security lane schedules
Reducing costs whilst maintaining passenger satisfaction is an important problem for airports. One area this can be applied is the security lane checks at the airport. However, reducing costs through reducing lane openings typically increases queue length and hence passenger dissatisfaction. This paper demonstrates that evolutionary methods can be used to optimise airport security lane schedules such that passenger dissatisfaction and staffing costs can be minimised. However, it is shown that these schedules typically over-fit the forecasts of passenger arrivals at security such that in actuality significant passenger delays can occur with deviations from the forecast. Consequently, this paper further demonstrates that dynamic evolutionary re-optimisation of these schedules can significantly mitigate this over-fitting problem with much reduced passenger delays.
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