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作 者:白鹏[1] 陈彦州 张召悦[1] 陈霖峰 BAI Peng;CHEN Yan-zhou;ZHANG Zhao-yue;CHEN Lin-feng(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China;Leihua Electronic Technology Institute,AVIC,Jiangsu Wuxi 214063,China)
机构地区:[1]中国民航大学空中交通管理学院,天津300300 [2]中国航空工业集团公司雷华电子技术研究所,江苏无锡214063
出 处:《计算机仿真》2024年第11期11-17,490,共8页Computer Simulation
基 金:国家重点研发计划(2020YFB1600101);中央高校基本科研业务费专项资金(3122022039)。
摘 要:为了缓解终端区航班延误现状,构建点融合系统优化模型,采用带精英策略的遗传算法进行求解,结果表明,经过优化后,终端区内航班的平均飞行时间减少了65s,平均燃油消耗减少了52.3kg,平均污染物排放减少了726g。之后以优化后的点融合系统作为仿真空域架构,构建基于点融合的多目标进场航班排序模型,采用带精英策略的快速非支配遗传算法进行求解,结果表明,相较于先到先服务序列,在总延误时间和调度公平性方面,优化序列1分别优化了40.69%和10.16%,优化序列2分别优化了14.09%和13.4%,优化序列3分别优化了5.19%和18.56%,在考虑航空器速度调整后,优化序列1'、优化序列2'以及优化序列3'在最后着陆时间方面均优化了0.2%,提高了终端区的运行效率及航班调度公平性。In order to alleviate the flight delays in the terminal area,the optimization model of the point merge system is constructed,and the genetic algorithm with elite strategy is used to solve the problem.The results show that after optimization,the average flight time in the terminal area is reduced by 65 s,the average fuel consumption is reduced by 52.3 kg,and the average pollutant emission is reduced by 726 g.After that,the optimized point merge system is used as the simulation airspace architecture,and a multi-objective arrival flight sequencing model based on the point merge system is constructed.The fast non-dominated sorting genetic algorithm with elite strategy is used to solve the problem.The results show that compared with the first-come-first-served sequence,in terms of total delay time and scheduling fairness,optimization sequence 1 is optimized by 40.69%and 10.16%,optimization sequence 2 is optimized by 14.09%and 13.4%,and optimization sequence 3 is optimized by 5.19%and 18.56%.After considering the aircraft speed adjustment,optimization sequence 1,optimization sequence 2,and optimization sequence 3 are optimized by 0.2%in the final landing time,which improves the operation efficiency of the terminal area and the fair-ness of flight scheduling.
关 键 词:点融合系统 运行效率 快速非支配排序遗传算法 终端区排序 多目标优化
分 类 号:V355[航空宇航科学与技术—人机与环境工程]
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