机场航班序列动态优化模型  

Dynamic Optimization Model of Flight Sequence in Airport

作　　者：许鸣 XU Ming(Northwest Air Traffic Management Bureau CAAC,Xi’an 710082,Shaanxi,China)

机构地区：[1]中国民用航空西北地区空中交通管理局,陕西西安710082

出　　处：《民航学报》2021年第2期49-52,74,共5页Journal of Civil Aviation

摘　　要：本文主要针对进离场航线汇聚点的航班拥堵问题提出了优化方案。模型中除了考虑安全间隔和约束位置交换策略外,还充分考虑了机场容量和汇聚点流量的限制。最后,以总延误时间最短为目标函数,建立优化模型。引入协同进化遗传算法对模型进行仿真,对比了3种种群划分方式在迭代效率以及优化结果的不同,仿真结果表明该模型可以有效减少总延误时间,改善交通拥堵状况,降低运行风险。This paper proposes an optimization scheme to address traffic jam at the convergence point of routes.During the optimization procedure,besides the safety interval and the constraint position strategy(CPS),this paper gives full consideration to the flow limitation generated by airport capacity.Finally,it establishes optimization models by minimizing total delay time.COGA(co-evolutionary genetic algorithm)is introduced to make a simulation.It compares the differences of three kinds of division modes in terms of iteration efficiency and optimized results.The simulation results indicate that this model can effectively reduce the total delay time,mitigate traffic congestion and reduce operating risks in airspace adjacent to the airport.

关 键 词：航班拥堵 安全间隔 机场容量 汇聚点流量 迭代效率 运行风险 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]