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基于背压路由算法的离港飞机滑行路径优化 被引量:5

Taxiway Routing Optimization of Departures Based on Backpressure Routing Algorithm
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摘要 针对现有优化算法仅从最短路径或最小滑行时间的角度出发,忽略了航空公司满意度和滑行道负载率对滑行道调度影响的问题,提出了基于背压路由的离港滑行路径优化算法.算法首先将离港滑行路径优化问题等价转化为网络拓扑结构中的路由搜索问题,然后利用背压路由算法求解具有最大航空满意度和最小滑行道负载率的滑行路径.对国内某枢纽机场实际运行数据的仿真结果表明,运用该算法获得的滑行路径在保证跑道及滑行道效用的同时,能够有效减少飞机滑行时间,改善机场拥塞问题,缓解机场容量与需求的矛盾,提高机场运行效率,为离港航班滑行路径优化提供了新的研究思路. Existing optimization algorithms are usually based on the shortest path or minimum taxiing time,and they ignore the impacts of airline satisfaction and taxiway load rate on taxiway scheduling. To solve this problem,we propose a taxiing route optimization algorithm for departures based on backpressure routing. First,we consider the optimization problem to be equivalent to the routing problem in network topology. We obtain the taxiing route with the maximum airline satisfaction and minimum taxiway load rate by introducing a backpressure routing algorithm. The results or our simulation using actual operational data from a domestic hub airport show that the taxiing route achieved by our algorithm ensures the utility of the runway and taxiway while effectively reducing aircraft taxiing time by improving airport congestion and relieving the conflict between airport capacity and demand. Thus,the operational efficiency of the airport is improved tremendously. The proposed algorithm provides a new approach for the optimization of taxiway routing for airport departures.
出处 《信息与控制》 CSCD 北大核心 2016年第1期27-31,共5页 Information and Control
基金 国家自然科学基金和中国民用航空局联合资助项目(U1233124) 中央高校基金资助项目(3122014P003)
关键词 背压路由 航空公司满意度 滑行道负载 最优路径 backpressure routing airline satisfaction taxiway load optimal route
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  • 1郑欢,古福文.大型超市顾客交费排队系统优化分析[J].管理学报,2005,2(2):171-173. 被引量:32
  • 2陶军,吴清亮,吴强.基于非合作竞价博弈的网络资源分配算法的应用研究[J].电子学报,2006,34(2):241-246. 被引量:19
  • 3马良,朱刚,宁爱兵.蚁群优化算法[M].北京:科学出版社,2008,2.
  • 4Rosenberger J M,Johnson E L, Nemhauser G L. A Robust Fleet Assignment Model with Hub Isolation and Short Cy- cles[J]. Transportantion Science,2004,38(3):357-368.
  • 5Lohatepanont M, Barnhart C. Airline Schedule Planning:In- tegrated Models and Algorithms for Schedule Design and Fleet Assignment[J].Transportantion Science, 2004,38(1) : 19-32.
  • 6Yen J W,Birge J R. A Stochastic Programming Approach to the Airline Crew Scheduling Problem[J]. Transportantion Science ,2006,40(2):3-14.
  • 7Lan S, Clarke J-P, Barnhart C. Planning for Robust Airline Operations:Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions[J]. Transportantion Science, 2006,40(1) : 15- 28.
  • 8Gopalan R, Tallurt K T. The Aircraft Maintenance Routing Problem[J] ,Operations Research, 1998,46(2) :260-271.
  • 9Adriaan T M, Mao X Y, Roos N, et al. Multi-agent system support for scheduling aircraft de-icing[C]//Proceedings of IS- CRAM 2007 Intelligent Human Computer Systems for Crisis Response and Management. Piscataway, NJ, USA: IEEE, 2007: 467-478.
  • 10Lavalle S M. Robot motion planning: A game-theoretic founda- tion[J]. Algorithmica, 2000(26): 430-465.

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