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Anchorage Arrival Scheduling Under Off-Nominal Weather Conditions

机译:非正常天气条件下的锚地到达调度

摘要

Weather can cause flight diversions, passenger delays, additional fuel consumption and schedule disruptions at any high volume airport. The impacts are particularly acute at the Ted Stevens Anchorage International Airport in Anchorage, Alaska due to its importance as a major international portal. To minimize the impacts due to weather, a multi-stage scheduling process is employed that is iteratively executed, as updated aircraft demand and/or airport capacity data become available. The strategic scheduling algorithm assigns speed adjustments for flights that originate outside of Anchorage Center to achieve the proper demand and capacity balance. Similarly, an internal departure-scheduling algorithm assigns ground holds for pre-departure flights that originate from within Anchorage Center. Tactical flight controls in the form of airborne holding are employed to reactively account for system uncertainties. Real-world scenarios that were derived from the January 16, 2012 Anchorage visibility observations and the January 12, 2012 Anchorage arrival schedule were used to test the initial implementation of the scheduling algorithm in fast-time simulation experiments. Although over 90% of the flights in the scenarios arrived at Anchorage without requiring any delay, pre-departure scheduling was the dominant form of control for Anchorage arrivals. Additionally, tactical scheduling was used extensively in conjunction with the pre-departure scheduling to reactively compensate for uncertainties in the arrival demand. For long-haul flights, the strategic scheduling algorithm performed best when the scheduling horizon was greater than 1,000 nmi. With these long scheduling horizons, it was possible to absorb between ten and 12 minutes of delay through speed control alone. Unfortunately, the use of tactical scheduling, which resulted in airborne holding, was found to increase as the strategic scheduling horizon increased because of the additional uncertainty in the arrival times of the aircraft. Findings from these initial experiments indicate that it is possible to schedule arrivals into Anchorage with minimal delays under low-visibility conditions with less disruption to high-cost, international flights.
机译:在任何大容量机场中,天气都会导致航班改航,旅客延误,额外的燃油消耗以及航班时刻表的中断。由于其作为主要的国际门户的重要性,在阿拉斯加安克雷奇的泰德·史蒂文斯·安克雷奇国际机场的影响尤其严重。为了最小化由于天气造成的影响,当更新的飞机需求和/或机场容量数据变得可用时,采用迭代执行的多阶段调度过程。战略调度算法为源自安克雷奇中心之外的航班分配速度调整,以实现适当的需求和容量平衡。同样,内部起程安排算法为从锚地中心内部出发的出发前航班分配地面保持。机载保持形式的战术飞行控制被用来应对系统的不确定性。从2012年1月16日的安克雷奇能见度观测结果和2012年1月12日的安克雷奇到达时间表中得出的真实场景用于测试快速仿真实验中调度算法的初始实现。尽管在这种情况下超过90%的航班无需任何延误即可到达安克雷奇,但出发前的调度是控制安克雷奇到达的主要方式。另外,战术调度与出发前调度一起被广泛使用,以反应性地补偿到达需求中的不确定性。对于远程飞行,当调度范围大于1,000 nmi时,战略调度算法的效果最佳。在这些较长的调度范围内,仅通过速度控制就可以吸收10到12分钟的延迟。不幸的是,由于飞机到达时间的额外不确定性,战术调度的使用增加了战略调度范围,这导致空降被发现。这些初步实验的结果表明,可以在低能见度条件下以最小的延误安排到达安克雷奇的抵达,而对高成本的国际航班的干扰则较小。

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