为解决当前航空器着陆时效性差、运行成本高以及对于乘客的满意度关注度低等问题,综合考虑空管、机场、航空公司和乘客等多方利益相关者的期望,提出乘客期望时间满意度的概念,建立以燃油消耗最小、延误时间最小和乘客期望时间满意度最大为目标的多主体期望的进场航空器排序模型。以航空器尾流间隔、最大位置偏移量、点融合空域结构等作为约束条件,选取基于精英保留策略的非支配排序遗传算法(NSGA-Ⅱ)进行求解。通过实际空域环境数据与实际航空器历史数据,设计了点融合空域结构作为仿真场景,分别针对3类不同的空中交通密度进行仿真求解。结果表明与先到先服务(FCFS)模型相比,该模型在3类空中交通密度下,乘客满意度平均提高了48.47%,延误时间平均减少了59.37%,运行成本平均降低了0.94%,验证了该模型的有效性。
In order to alleviate the problems of inefficient landing schedules, elevated operation costs of aircraft, and inadequate attention to passenger satisfaction, considering the expectations of multiple stakeholders, including air traffic control, airports, airlines and passengers, the concept of passenger expected time satisfaction is proposed. A model of arrival aircraft sequencing grounded in multi-stakeholder requirements is established, which aims at minimizing fuel consumption and delay time while maximizing the passenger expectation time satisfaction, and vortex wake separation standards, max position shift and point merge system airspace structure as constraints. The elite-preserved non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is selected to solve it. Based on the data of actual airspace environment and the historical data of actual aircraft, the airspace structure of point merge system is designed as the simulation environment, the simulation experiment is conducted across three different types of air traffic flow. The results show that compared with the First-Come, First-Served (FCFS) model, under the three types of air traffic flow, the passenger satisfaction metrics are increased by 48.47% on average, the delay time is reduced by 59.37% on average, and the operating costs are reduced by 0.94% on average, verifying the effectiveness of the proposed model.
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