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空中交通态势感知研究综述

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空中交通系统作为典型的复杂系统,解决空中交通的拥挤、航班延误等问题是当下的研究难点和热点,需大力发展空中交通态势感知这一关键技术,为此对空中交通态势感知技术进行了详细的综述.对空中交通态势识别算法的国内外研究做了概述,随后重点分析了空中交通态势预测技术,依据应用方法不同,将空中交通态势预测分为交通流模型预测、人工智能算法预测以及复杂网络预测,以技术更迭为时间线,对研究成果进行分析,最终基于研究阐述现存问题并对未来研究方向做出展望.
A Review of Air Traffic Situational Awareness Research
Air traffic system as a typical complex system,to solve the air traffic congestion,flight delays and other problems is the current research difficulties and hotspots,need to vigorously develop air traffic situational awareness of this key technology,so this paper on the air traffic situational awareness technolo-gy for a detailed review.This paper firstly gives an overview of the domestic and international research on air traffic situation recognition algorithms,and then focuses on the analysis of air traffic situation predic-tion technology,based on different application methods,air traffic situation prediction is divided into traf-fic flow model prediction,artificial intelligence algorithms prediction,and complex network prediction,with the technological change as the time line,the research results are analysed,and finally based on the research to elaborate the existing problems and future research direction.The research results are analysed in a time line of technological changes.

air situational recognitionair situational predictionneural networkscomplex network theory

王云锋、黄涛、王子玖、魏同胜、程爽

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沈阳航空航天大学,辽宁沈阳 110000

空中态势识别 空中态势预测 神经网络 复杂网络理论

辽宁省哲学社会科学规划基金重大项目资助

L21BJY038

2024

航空计算技术
中国航空工业西安航空计算技术研究所

航空计算技术

CSTPCD
影响因子:0.316
ISSN:1671-654X
年,卷(期):2024.54(1)
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