基于独立运行的远距平行跑道进离场调度研究  

Research on collaborative scheduling of approach and departure flights on independent long-distance parallel runways

作　　者：徐兆龙[1] 姜雨[1] 罗宇骁[1] 徐新星[1] 

机构地区：[1]南京航空航天大学民航学院,南京210016

出　　处：《中国民航大学学报》2015年第5期1-6,共6页Journal of Civil Aviation University of China

基　　金：国家自然科学基金项目(U1333117);国家博士后科学基金项目(2012M511275);南京航空航天大学基本业务经费(NS2013067)

摘　　要：通过研究独立远距平行跑道的航班进离场联合调度问题,对等待起降的航班进行重新排序,从而减少航班等待时间,增大空中流量,缓解终端区航班拥堵严重状况。本研究在保证航班运行安全的基础上,以航班飞行所需的最小安全间隔及时隙分配等为约束条件,分别以降低延误损失和提高航空公司竞争公平性为目标,建立多目标航班调度模型,利用遗传算法对模型求解。实例仿真结果表明,多目标航班调度模型在解决实际终端区航班调度问题方面表现优异,航班总延误损失降低82.4%,标准航班延误偏差和降低83.7%。Collaborative scheduling problem of approach and departure flights on independent parallel long-distance runways is research to rearrange the order of the taking off and landing flights, thus reducing the waiting time, increasing air flow and alleviating flight jams in terminal area. On the basis of ensuring safe operation of flights, taking the minimum flight safe distance and time slot allocation as constraint conditions, considering delay losses and fair competition among airlines as goals, a multi-objective flight scheduling model is established, and the genetic algorithm is used to solve the model. Simulation results show that the current model is excellent in solving practical flight scheduling problem in terminal area, the total flight delay losses have been reduced by 82.4%, flight delay losses of the sum of absolute deviation have also been reduced by 83.7%.

关 键 词：空中交通管理 联合调度 独立远距平行跑道 遗传算法 

分 类 号：V351.11[航空宇航科学与技术—人机与环境工程]