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航空运输业的不断发展给终端区容量带来了巨大的挑战。为了降低管制员的工作负荷,增加终端区的容量,对终端区的扇区优化进行研究,建立了终端区空域拓扑结构模型,利用Voronoi图进行终端区单元划分,并计算各航路点的工作负荷,建立扇区优化的数学模型,利用一种排列组合算法进行单元组合,将各单元的目标函数值作为优化函数,并结合粒子群优化算法求得最优解。最后,以成都终端区扇区优化为例进行了验证,证明了粒子群优化算法的有效性,可以很好地应用在以航路点为划分单元的扇区组合优化中。
The continuous development of air transport industry presents a huge challenge to the terminal area capacity. In order to reduce the workload of controllers and increase the capacity of the terminal area, the sector optimization in the terminal area is studied. The topology model of the terminal area is established. The terminal area is divided by the Voronoi diagram and the workload of each waypoint is calculated , A mathematical model of sector optimization is established. By using a permutation and combination algorithm for unit combination, the objective function value of each unit is taken as an optimization function, and the optimal solution is obtained by combining particle swarm optimization algorithm. Finally, the example of sector optimization in terminal area of Chengdu is taken as an example to verify the validity of PSO, which can be well applied to sector combination optimization based on route points.