Flight situational assessment based on complex network and MFIM-TOPSIS

基于复杂网络和MFIM-TOPSIS的飞行态势评估

¹ Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China
² National Key Laboratory of Air Traffic Collision Prevention, Xi'an 710051, China
³ Unit 93220 of the PLA, Harbin 150036, China
⁴ Unit 95605 of the PLA, Chongqing 402360, China

Received: 13 June 2023

Abstract

In order to objectively and accurately assess the airborne flight posture in the trajectory-based operation (TBO) mode, a flight posture assessment method based on complex network and MFIM-TOPSIS is proposed. Firstly, the precise protection zone of different aircraft types is established by analyzing the risk of lateral collision between aircraft, and the flight conflict network is constructed by using the three-dimensional velocity barrier method, which is close to the TBO air operation environment, based on which six network topology indexes, such as total node degree, average point strength and network density, are selected to build the flight attitude assessment index system. To weaken the influence of the assessment subjectivity, an interaction matrix that can reflect subjective factors-objective factors is proposed. The maximum information coefficient is used to improve the coding of interaction matrix. Finally the flight attitude level status is assessed by using the superiority-disadvantage solution distance method. The simulation analysis and the example analysis of Takasaki Airport show that the evaluation model can accurately assess the air traffic situation and provide auxiliary information for controllers' decision making and command.

摘要

为了客观准确评估基于航迹运行(TBO)模式下空中飞行态势, 提出了一种基于复杂网络和MFIM-TOPSIS的飞行态势评估方法。通过分析航空器间侧向碰撞风险建立不同机型的精准保护区, 通过三维速度障碍法构建飞行冲突网络, 贴近TBO空中运行环境, 在此基础上选取总节点度、平均点强、网络密度等6个网络拓扑指标构建飞行态势评估指标体系。为弱化评估主观性影响, 提出了一种能反映主观因素-客观因素的相互作用矩阵, 采用最大信息系数对相互作用矩阵编码进行改进, 通过优劣解距离法评估飞行态势等级状况。仿真分析和高崎机场实例分析结果均表明: 该评估模型能够准确评估空中飞行态势, 能为管制员决策指挥提供辅助信息。