基于粒子滤波算法修正节点队列模型
A Particle Filter Algorithm Based Modification of the Node Queue Model
  
中文关键词:交通流量管理  无冲突  节点队列模型  粒子滤波算法  延误时间
英文关键词:management of traffic flow  collision free  the node queue model  the particle filter algorithm  delay time
基金项目:
作者单位
邱智慧 中国民航大学电子信息与自动化学院天津300300 
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中文摘要:
      在终端区合理安排飞机进近排序对于有效地实现交通流量管理具有重要意义。通过终端区路径点间距信息,在实现飞机无冲突飞行的前提下,通过构建节点队列模型得到飞机在终端区的下降路径,并利用粒子滤波算法修正节点队列模型的参数,得到飞机在终端区的延误时间,通过对比在多条路径中选择出延误时间最短的路径。仿真实验表明,提出的通过构建节点队列模型的方式可以准确获得飞机的多条下降路径,并且通过粒子滤波算法修正节点队列模型参数估计,可以选择出延误时间更短的路径。
英文摘要:
      It is very important rationally to arrange the aircraft approach sorting in the terminal area to achieve the effective management of the traffic flow. The path distance information of the terminal area is used to obtain the descending paths of the aircraft in the terminal area by means of establishing the node queue model under the premise of the collision free flight of the aircraft, upon the basis of which the particle filter algorithm is applied to modifying the parameters of the node queue model, with the delay time of the aircraft in the terminal area obtained, and the path of the shortest delay time by comparing the multiple paths chosen. The experimental results show that the proposed method of establishing the node queue model can help accurately obtain multiple descending paths of the aircraft, the particle filter algorithm can be used to modify the estimation of the parameters of the model, and thus, the path with shorter delay time can be chosen.
邱智慧.基于粒子滤波算法修正节点队列模型[J].国防交通工程与技术,2019,17(5):34~39
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