基于仿真优化的临时航线动态规划  

Dynamic Programming of Temporary Routes Based on Simulation Optimization

作　　者：朱承元[1] 晏楠欣 刘裕旭 ZHU Cheng-yuan;YAN Nan-xin;LIU Yu-xu(College of Air Traffic Management,Civil Aviation University of China,Tianjing 300300,China;Department of Airport Operation Center,Jinan International Airport Co.,Jinan Shandong 250000,China)

机构地区：[1]中国民航大学空中交通管理学院,天津300300 [2]济南国际机场股份有限公司运行控制中心,山东济南250000

出　　处：《计算机仿真》2022年第11期60-64,91,共6页Computer Simulation

基　　金：国家自然科学基金青年科学基金项目(U1833103)。

摘　　要：为实现空域的灵活使用,对目标空域内军方允许使用的临时航线的动态规划与优化方法进行研究,提出全空域与机场模型(TAAM)和改进离散粒子群优化算法(DPSO)相结合的仿真优化方法。首先,利用TAAM模型构建以最小管制员工作负荷和最低飞行成本为目标的临时航线规划模型;采用组合赋权法和规范化处理确定多目标函数的权重;重新定义DPSO算法的运算规则实现算法改进。以上海部分扇区航路航线的仿真运行数据为例,管制员工作负荷和飞行成本分别下降了13.64%和9.08%。结果表明,上述方法能够有效降低管制员工作负荷和飞行成本,为航班计划的编订提供参考。In order to realize the flexible use of airspace,the authors dynamically planned and optimized the temporary routes permitted by the military in the target airspace,and proposed a simulation optimization method,in which Total Airspace and Airport Modeller(TAAM)and the improved Discrete Particle Swarm Optimization(DPSO)Algorithm were combined.Firstly,the TAAM model was used to construct a temporary routes programming model with the minimum controller workload and the lowest flight cost as the objective.Secondly,a weighting method and normalization processing were combined to determine the weight of multi-objective function.Then,the operation rules of DPSO algorithm was redefined to improve the algorithm and optimize temporary routes.A numerical test was performed based on simulation data of some sectors routes in Shanghai,controller workload and flight cost were decreased by 13.64%and 9.08%,respectively.The results show that the method can not only effectively reduce the workload of controllers and flight cost of aircraft,but also provide a reference for flight planning.

关 键 词：空中交通管理 临时航线动态规划 仿真优化 离散粒子群优化算法 管制员工作负荷 飞行成本 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]