基于改进蚁群算法的改航策略问题研究  

Rerouting strategy research based on improved ant colony algorithm

作　　者：王莉莉[1] 杨惠东[1] 周娟[1] 

机构地区：[1]中国民航大学空中交通管理学院,天津300300

出　　处：《中国民航大学学报》2016年第1期15-18,共4页Journal of Civil Aviation University of China

基　　金：国家自然科学基金项目(61179042);中央高校基本科研业务费专项(ZXH2012L005)

摘　　要：航班改航飞行是在空域受危险天气及飞行冲突影响时的一种重要策略。为解决改航问题,恶劣天气条件下,首先基于数值气象预报特征,运用栅格法对空域场景进行改航环境建模。在考虑了空中交通规则及航空器性能的基础上,对航向改变次数、转弯角度、航段距离进行约束,提出基于改进蚁群算法的改航路径规划方法。最后,通过对贵阳—长沙航路的仿真分析,表明该算法能在局部受限区之间搜索到一条安全可行的临时改航航线,达到提高空域利用率的目的。Flight rerouting is an important strategy in the airspace with the limit of heavy weather and flight conflict. To solve rerouting problem, the grid method is firstly utilized to build the model for diverting airspace environment based on numerical weather prediction features in severe weather. Taking air traffic rules and aircraft performance into consideration, a new rerouting path planning method basing on the improved ant colony algorithm is proposed under the limitation of head changing times, turning angels and travelling distance. Finally, the flight path of Guiyang-Changsha is studied. Simulation results show that the proposed method can search a safe and feasible temporary flight rerouting path between local flow constrained area and others, and can improve the utilization rate of the airspace effectively.

关 键 词：空中交通规划 改航策略 改进蚁群算法 栅格法 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]