机场时隙分配优化技术研究
发布时间:2018-03-24 16:17
本文选题:突发性事件 切入点:地面等待策略 出处:《南京航空航天大学》2016年硕士论文
【摘要】:机场时隙分配是地面等待策略(GHP)的核心。目前,机场时隙分配的研究主要针对预战术阶段容量变化的时隙分配问题,而战术阶段突发性事件频发,对机场时隙分配的实时性提出了更高的要求。首先,本文提出了基于突发性事件的机场进离场时隙分配模型。以进离场航班的总延误损失为功效性目标函数,将进场航班延误损失进一步细分为空中延误损失和地面延误损失,将旅客平均延误时间作为机场时隙分配公平性指标,针对突发性事件的特点,提出时隙分配的时效性指标;然后,为了快速的求解出高质量的时隙分配方案,引入生物地理学算法(BBO)求解该模型;再根据实际航班数据在某些时段因航班数量少于时隙数量,而导致初始解集中解向量的数量有所差异,造成不能使用智能算法求解的问题,提出了“虚拟航班”的概念并应用到实际求解中;最后根据北京机场的实际数据进行了算例仿真。仿真结果与优化前的RBS算法求得结果相比,总延误损失减少了32.8%,旅客平均延误时间降低了27.8%,表明了本文所提模型和算法表现出高效、快速的时隙分配能力。
[Abstract]:Airport slot allocation is the core of ground wait strategy (GHP). At present, the research of airport slot allocation is mainly focused on slot allocation with varying capacity in pre-tactical phase, and sudden events occur frequently in tactical phase. The real time requirement of airport slot allocation is put forward. First of all, an airport departure slot allocation model based on sudden events is proposed. The efficiency objective function is the total delay loss of departure flight. The delay loss of approach flight is further subdivided into air delay loss and ground delay loss, and the average delay time of passengers is regarded as the fairness index of airport slot allocation. According to the characteristics of sudden events, the time-efficiency index of slot allocation is put forward. Then, in order to solve the high quality slot allocation scheme quickly, the biogeography algorithm is introduced to solve the model, and then, according to the actual flight data, the number of flights is less than the number of slots at some time. The number of solution vectors in the initial solution set is different, which leads to the problem which can not be solved by intelligent algorithm. The concept of "virtual flight" is put forward and applied to practical solution. Finally, according to the actual data of Beijing Airport, an example is given. The simulation results are compared with the results obtained by the RBS algorithm before optimization. The total delay loss is reduced by 32.8. the average delay time of passengers is reduced by 27.8. it shows that the proposed model and algorithm have high efficiency and fast time slot allocation ability.
【学位授予单位】:南京航空航天大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:V355
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