摘要
危险天气是影响飞行安全,导致航班延误的重要原因。在对危险天气影响下的飞行受限区进行划设的基础上,采用一元线性回归预测模型和一种改进的飞行受限区边界预测方法,实现对飞行受限区的位置及边界的动态预测,并以所预测的飞行受限区作为约束,在考虑飞行性能和安全的基础上,以最短改航距离、最小转弯角、最少转弯点为优化目标建立改航路径规划模型,采用遗传算法求解。仿真结果表明:所规划出的改航路径能避让飞行受限区并满足安全、经济以及减少管制员工作负荷的目标。
Dangerous weather affects flight safety and is an important reason for flight delay. By establishing flow constrained area under dangerous weather, using a linear regression forecast model and proposing an improved method, this study forecasted the location and boundary of flow constrained area dynamically. Adopting the predicted low constrained area as the constraints and taking flight performance and safety into account, it established a reroute model and applied the genetic algorithm by setting the shortest path of reroute, the least turning points and minimum average turning angle as the optimization goal. The simulation results showed that the designed route can avoid flight constrained area and achieve the goals of security, economy and reduce controllers＇ workload.
出处
《华东交通大学学报》
2016年第3期60-67,共8页
Journal of East China Jiaotong University
基金
国家自然科学基金项目(71301074)
关键词
飞行受限区域
位置预测
边界预测
遗传算法
改航
flow constrained area
location forecast
boundary forecast
genetic algorithm
reroute
