基于扇区负荷约束的管制移交间隔多目标优化模型

繁忙扇区的容量随着交通复杂性的改变而动态变化,现有的基于确定容量的管制移交间隔管理策略不再适用,且动态容量下频繁改变移交间隔也不利于空中管制指挥。本文首先通过将交通复杂性转化为管制工作负荷参数,解决移交间隔改变导致的容量动态变化问题,建立基于扇区负荷的容量流量匹配模型。其次设计管制移交间隔策略稳定性表征函数,提出以策略稳定性和延误成本为目标的管制移交策略优化模型和智能算法。最后基于昆明机场进近扇区实际数据进行仿真验证,证明本方法可以获得一组帕累托最优解,能够为流量管理部门发布管制移交策略以供决策支持。

Novel Multi-objective Optimization Model for Minute-in-Trail Strategy Based on Sector Workload Restriction

The capacity of complex sector changes with the dynamic change of traffic complexity, and current MIT strategy based on fixed capacity is no longer applied. However, the frequent change of transfer interval will also have negative influence on the air traffic control. In this paper, firstly, traffic complexity is transferred into workload parameter to solve the dynamic capacity problem which caused by the change of transfer interval. Then, a traffic flow-capacity matching model based on sector workload restriction and a control strategy stability characterization function are presented. A multi-objective optimization model for minute-in-trail strategy with the targets of strategy stability and delay cost and its intelligence algorithm are established. Finally, this optimization model is verified by the real operation data from Kunming approach sector. The experimental results verify that a group of Pareto optimal solutions can be got, and the model can offer decision support for air traffic flow administrative department when they issue transfer interval strategy.