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基于运行保障效率的货运航班停机位分配 被引量:3

Gate Assignment of Freight Flight Considering Efficiency Operation Support
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摘要 基于双分拣中心建立最小化不同紧急程度货物的影响下飞机滑行时间和机下运输至分拣系统时间、最大化货运航班类型和停机位类型的匹配程度以及跑道鲁棒性的多目标优化模型,采用线性加权法对目标函数进行赋值,综合分析不同权重下的分配结果并得到最优方案。借助CPLEX Studio IDE 12.8.0软件,以鄂州机场为实例进行求解,实验结果表明,相比于贪婪启发式方法,本文提出的模型得到的分配方案使得飞机滑行时间减少17.90%,货物运输时间减少6.96%,机位类型利用率提升21.21%,跑道使用完全均衡,因此提高了枢纽机场过站时效,运行保障效率有明显提升,可用于货运枢纽机场的实际运营。 In order to further solve the problem of freight airport gate assignment and improve the efficiency of airport operation support,considering the double sorting centers and cargo emergency degree,a multiobjective optimization model is established to minimize the aircraft taxiing time and off-board transportation time,and to maximize the matching degree between flight type and stand type,and runway robustness. The linear weighting method is used to assign the objective function,and the distribution results under different weights are analyzed comprehensively to get the optimal scheme. With the help of CPLEX Studio IDE12.8.0,Ezhou Airport is taken as an example to solve the problem. The experimental results show that compared with the greedy heuristic method,the gate assignment scheme of the model proposed in this paper can reduce the aircraft taxiing time by 17.90%,reduce the cargo transportation time by 6.96%,enhance the utilization rate of aircraft stand type by 21.21%,and the runway usage is completely balanced. Therefore,it improves the transit efficiency of hub airport and the efficiency of operation support,and can be used in the actual operation of freight hub airport.
作者 袁媛 翟好鑫 孙传龙 YUAN Yuan;ZHAI Haoxin;SUN Chuanlong(College of Economics and Management,Shenyang Aerospace University,Shenyang 110136,China)
出处 《南京航空航天大学学报》 CAS CSCD 北大核心 2021年第6期934-940,共7页 Journal of Nanjing University of Aeronautics & Astronautics
基金 国家自然科学基金青年基金(71802141)资助项目 教育部人文社会科学研究青年基金(18YJC630219)资助项目 辽宁省教育厅科研基金(LJKR0102,JYT2020023)资助项目。
关键词 航空货运 停机位分配 运行保障效率 双分拣中心 多目标优化 air cargo gate assignment operation guarantee efficiency double sorting center multi-objective optimization
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