检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王莉莉[1] 熊子睿 唐振威 WANG Lili;XIONG Zirui;TANG Zhenwei(College of Air Traffic Management,CAUC,Tianjin 300300,China;Flight dispatch and Technique Support Department of Spring Airlines Co.,Ltd.,Shanghai 200335,China;East China Air Traffic Management Bureau,CAAC,Shanghai 200335,China)
机构地区:[1]中国民航大学空中交通管理学院,天津300300 [2]春秋航空股份有限公司航务部,上海200335 [3]中国民用航空华东地区空中交通管理局,上海200335
出 处:《中国民航大学学报》2024年第4期43-49,共7页Journal of Civil Aviation University of China
基 金:国家自然科学基金项目(U1633124)。
摘 要:现有进场航班排序与调度模型较少考虑不确定因素的影响,本文基于点融合系统(PMS,point merge system)连续下降进近时间符合高斯分布的特点,建立增强鲁棒性的两阶段进场排序与调度模型。第一阶段,描述随机变量带来的不确定性,基于机会约束规划理论设计带有额外缓冲区的静态排序与调度模型,以飞行时间和次序变更量为指标确定最佳额外缓冲区;第二阶段,补偿不可预知原因导致飞行时间超出缓冲区的情况,采用基于滑动时间窗的启发式算法对第一阶段的方案进行动态调整。通过Monte-Carlo模拟不确定性场景下的连续下降进近时间,仿真结果表明,在高、中、低3种交通密度下,所提出的两阶段模型相较于其他模型在鲁棒性和公平性的平衡方面表现出了良好性能。The existing sequencing and scheduling models for arrival flight rarely consider the influence of uncertain factors.This paper establishes a two-stage arrival sequencing and scheduling model with enhanced robustness based on the characteristics of the point mergen system(PMS)that the continuous descent approach time conforms to the Gaussian distribution.In the first stage,the uncertainty brought by random variables is described,design a static sequencing and scheduling model with additional buffer is designed based on chance constrained programming theory,and the optimal additional buffer is determined by taking flight time and order change as indicators.In the second stage,in order to compensate for the situation that the flight time exceeds the buffer capacity caused by unpredictable reasons,a heuristic algorithm based on sliding time windows is applied to dynamically adjust the scheme in the first stage.Through Monte-Carlo simulation of continuous descent approach time in uncertain scenarios,the simulation results show that the proposed two-stage model exhibits good performance in balancing robustness and fairness compared with other models under high,medium and low traffic densities.
关 键 词:空中交通流量管理 进场排序 点融合系统 两阶段规划 MONTE-CARLO模拟
分 类 号:V355[航空宇航科学与技术—人机与环境工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.140.250.157