Research on dispatching model of aircraft ground deicing

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Research on dispatching model of aircraft ground deicing

ZHANG Wei¹, LI Biao²

(1. Beijing Capital International Airport, Beijing 100000, China;2. College of Electronic Information and Automation, CAUC, Tianjin 300300, China)

Received:2017-08-06 Revised:2017-08-31 Online:2017-10-25 Published:2017-12-14

Abstract

Abstract: In order to ensure the normal operation of airport's winter flights, ovoiding large-scale delays and accidents by deicing in time, a reasonable allocation of de-icing resource is required to maximize its utility. According to the deicing resource conditions and constraints of each participant, a heuristic scheduling model based on game allocation scheme is proposed, Which is able to achieve the highest resource efficiency, getting optimal solution of the whole scheduling model combined with the heuristic algorithm. Simulation with real operation data of Beijing Capital International Airport shows that the current model is better than single game model.

Key words: deicing resource, game allocation scheme, heuristic algorithm, scheduling model, optimal solution

CLC Number:

ZHANG Wei, LI Biao. Research on dispatching model of aircraft ground deicing[J]. .

References

[1] VOULGARELLIS P G, CHRISTODOULOU M A, BOUTALIS Y S. A MATLAB Based Simulation Language for Aircraft Ground Handling Operations at Hub Airports (SLAGOM)[C]//Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation, IEEE, 2005: 334-339.
[2] MAKHLOOF M A A, WAHEED M E, BADAWI E R, et al. Real-time aircraft turnaround operations manager[J]. Production Planning& Control,2014, 25(1): 2-25.
[3] SANYA A, CHRISTOPHER C. A simulation based approach for contingency planning for aircraft turnaround operation system activities in airline hubs[J]. Journal of Air Transportation, 2006, 11(1): 140-155.
[4] 徐瑞时.繁忙机场地面保障容量评估与优化[D].南京:南京航空航天大学, 2014.
[5] MAO X Y, MORS A T, ROOS N, et al. Agent-Based Scheduling for Aircraft Deicing[C]//Proceedings of the 18th Belgium-Netherlands Conference on Artificial Intelligence, Brussels, 2007: 229-236.
[6] MAO X Y, MORS A T, ROOS N, et al. Using Neuro -Evolution in Aircraft Deicing Scheduling[C]//ALAMAS 2007 Adaptive andLearning Agents and Multi-Agent Systems, Berlin, 2007: 138-145.
[7] MORS A T, MAO X Y, ROOS N, et al. Multi-Agent Sycstem Support for SchedulingAircraftDe-icing[C]//ProceedingofISCRAM2007-Intelligent Human Computer Systems for Crisis Response and Management, Delft,2007: 467-478.
[8] 石旭东,王立文, 刘胜飞援飞机集中除冰车辆优化调度方法研究[J].计算机工程与应用, 2009, 45(4): 218-220.
[9] 邢志伟, 唐广群, 任准. 多除冰坪排队飞机除冰过程调度非合作博弈[J]. 信息与控制, 2013, 42(4): 511-515.
[10] 邢志伟,乔晓辉.飞机地面除冰运行的非合作博弈研究[J]. 系统仿真学报, 2011, 23(3): 433-437.
[11] XING Zhiwei, LI Junhui.Research of Game-Theoretic Approach for Aircraft Ground Deicing Operation Scheduling[C]//The 2nd International Conference on Mechanic Automation and Control Engineering(MACE 2011), 2011: 570-574.
[12] 李俊辉.飞机地面除冰调度合作博弈研究[D]. 天津:中国民航大学,2012.