The Node Queue Network Model And Approach Path Optimization Research For Terminal Area

The node queuing model is constructed by using the traffic situation information in the terminal area.The delay time parameters of the aircraft are obtained by the model,and the descending path of the aircraft without collision is obtained accurately.The delay time of the aircraft landing is estimated by analyzing the model parameters.In this way,the optimal path is selected.Thereby implement the path planning of the terminal area.Firstly,the traffic situation of the safe operation of the terminal area is analyzed to grasp the aircraft approach process,and the safety distance standard of the aircraft in conflict-free operation is discussed.In order to ensure the collision-free flight between the aircrafts,the adjacent path point spacing is divided into one node of 3 nautical miles(the standard approach interval),and only one aircraft can be accommodated between adjacent nodes,thereby the node queue model can be constructed with the path point information of the terminal area,then the descending path of the aircraft can be obtained.And the delay time of the aircraft is calculated according to the model parameters,and the path with the shortest delay time in the approaching process of the aircraft is selected.The experimental results show that the aircraft descending path without collision can be obtained by comparing the time relationship of different paths to select the optimal path.Compared with the traditional aircraft path optimization method,the delay time can be shorter,which is an effective analysis tool.Secondly,the parameter estimation of the node queue model can be realized with the extended Kalman filter algorithm and particle filter algorithm,and the delay time of the aircraft landing from different paths is calculated,and the delay time error of aircrafts through different paths is obtained.At the same time,the observation equation is corrected according to different situation information in the approaching process of the aircraft in the terminal area,and the relationship of delay time between the pre-correction and post-correction is compared to obtain a more optimized algorithm.Comparing the delay time measured by the extended Kalman Filter algorithm with the particle filter algorithm,a more applicable filtering algorithm is selected.Finally,based on the terminal area information of San Francisco International Airport and Guangzhou Baiyun Airport,the node queue model is constructed to obtain the descending path of the two airport terminal areas,and then the parameter estimation of the model can be implemented by the particle filter algorithm,and the delay time is also obtained.the optimal path is obtained by comparing the delay times of different paths.