機場時隙分配優(yōu)化技術(shù)研究
本文選題:突發(fā)性事件 切入點:地面等待策略 出處:《南京航空航天大學》2016年碩士論文
【摘要】:機場時隙分配是地面等待策略(GHP)的核心。目前,機場時隙分配的研究主要針對預(yù)戰(zhàn)術(shù)階段容量變化的時隙分配問題,而戰(zhàn)術(shù)階段突發(fā)性事件頻發(fā),對機場時隙分配的實時性提出了更高的要求。首先,本文提出了基于突發(fā)性事件的機場進離場時隙分配模型。以進離場航班的總延誤損失為功效性目標函數(shù),將進場航班延誤損失進一步細分為空中延誤損失和地面延誤損失,將旅客平均延誤時間作為機場時隙分配公平性指標,針對突發(fā)性事件的特點,提出時隙分配的時效性指標;然后,為了快速的求解出高質(zhì)量的時隙分配方案,引入生物地理學算法(BBO)求解該模型;再根據(jù)實際航班數(shù)據(jù)在某些時段因航班數(shù)量少于時隙數(shù)量,而導致初始解集中解向量的數(shù)量有所差異,造成不能使用智能算法求解的問題,提出了“虛擬航班”的概念并應(yīng)用到實際求解中;最后根據(jù)北京機場的實際數(shù)據(jù)進行了算例仿真。仿真結(jié)果與優(yōu)化前的RBS算法求得結(jié)果相比,總延誤損失減少了32.8%,旅客平均延誤時間降低了27.8%,表明了本文所提模型和算法表現(xiàn)出高效、快速的時隙分配能力。
[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.
【學位授予單位】:南京航空航天大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:V355
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