摘要
为了缓解重点机场节点失效带来的航空网络运行不畅、空中相撞风险增加等问题,需要对航线中运行的航空器进行备降场规划。分析了机型、航空器位置、节点容量、机场配置、航线密度等因素与代价之间的关系,建立了航空器分配优化模型,确立了距离和空中相撞风险两方面的优化目标,最后选用基于递变权重系数的蝙蝠算法对多目标问题求解。实验以北京——上海航线为例,结果表明提出的模型和算法较合理,可以调节参数来满足不同需求,求出的最优解相比传统方法更能有效降低代价。
To relive the aviation network congestion and the increased air collision risk caused by the failure of important airport node,the allocation of aircrafts in air-route to alternate airports is needed.The relationship between aircraft type,location,node capacity,airport configuration,airroute density and costs is analyzed.The aircrafts allocation optimization model was established,and the two optimization objectives are determined,which are distance and air-collision risk.This multiobjective problem is solved using Bat Algorithm based on gradient weighting coefficients in the end.Air-route“Beijing-Shanghai”is used as a test bed in the experiment,the results indicate that the model and algorithm proposed in this article is reasonable,it can meet different requirements by adjusting parameters,the optimal solution calculated is more valid in reducing the costs compared with traditional methods.
作者
吴明功
蒋旭瑞
温祥西
聂党民
涂从良
WU Ming-gong;JIANG Xu-rui;WEN Xiang-xi;NIE Dang-min;TU Cong-liang(School of AirTraffic Control and Navigation,Air Force Engineering University,Xi’an 710051,China)
出处
《火力与指挥控制》
CSCD
北大核心
2018年第11期58-63,共6页
Fire Control & Command Control
基金
国家自然科学基金(61472443
61503409)
国家空管科研基金资助项目(GKG201410001)
关键词
备降场规划
节点失效
蝙蝠算法
多目标
alternate airports allocation
node failure
bat algorithm
multi-objective