摘要
若扇区的工作负荷差别较大,会限制空域容量,给飞行安全和空域的利用造成不利影响。为了提高空域容量,缓解空中交通压力,构建基于管制员负荷的西安终端区扇区优化方法。通过对西安终端区近期雷达数据进行统计分析、量化管制负荷,得到符合西安终端区的管制员负荷综合值;对该终端区进行剖分得到Voronoi图,依据均衡扇区管制负荷的原则,加入实际约束条件,采用遗传算法对扇区进行优化。结果表明:通过扇区优化,提升了西安终端区的容量,均衡了各扇区的管制负荷,取得了较好的优化效果。
If the difference of the workload in a sector is too big,the airspace capacity will be limited,which will adversely affect the flight safety and airspace utilization. In order to improve the sector capacity, relieve air traf-fic pressure, the method of the Xi,an terminal sector capacity evaluation and optimization base on controller workload is constructed. Measuring the controller workload by the statistical analysis of the radar data, the comprehensive value of the controller workload, which accords with the Xi,an terminal workload, can be calculated. Then the Voronoi diagram is founded using computational geometry. According to the principle of bal-anced sector load regulation, and some actual constraints,applying genetic algorithm in terminal control air-space, the optimal design of sector structure can be achieved. Through sector optimization, the capacity of the terminal area of Xi,an is enhanced, the sectors of the control load is balanced,and good results are achieved.
出处
《航空工程进展》
CSCD
2017年第3期293-298,共6页
Advances in Aeronautical Science and Engineering
基金
中国民航飞行学院研究生创新项目(X2016-63)
