典型文献
Review on artificial intelligence techniques for improving representative air traffic management capability
文献摘要：
The use of artificial intelligence(AI)has increased since the middle of the 20th century,as evidenced by its appli-cations to a wide range of engineering and science problems.Air traffic management(ATM)is becoming increasingly automated and autonomous,making it lucrative for Al applications.This paper presents a systematic review of studies that employ Al techniques for improving ATM capability.A brief account of the history,structure,and advantages of these methods is provided,followed by the description of their applications to several repre-sentative ATM tasks,such as air traffic services(ATS),airspace management(AM),air traffic flow management(ATFM),and flight operations(FO).The major contribution of the current review is the professional survey of the Al application to ATM alongside with the description of their specific advantages:(ⅰ)these methods provide alternative approaches to conven-tional physical modeling techniques,(ⅱ)these methods do not require knowing relevant internal system parameters,(ⅲ)these methods are computationally more efficient,and(ⅳ)these me-thods offer compact solutions to multivariable problems.In addi-tion,this review offers a fresh outlook on future research.One is providing a clear rationale for the model type and structure selection for a given ATM mission.Another is to understand what makes a specific architecture or algorithm effective for a given ATM mission.These are among the most important issues that will continue to attract the attention of the Al research com-munity and ATM work teams in the future.
文献关键词：
中图分类号：
作者姓名：
TANG Jun;LIU Gang;PAN Qingtao
作者机构：
College of Systems Engineering,National University of Defense Technology,Changsha 410073,China;School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414000,China
文献出处：
引用格式：
[1]TANG Jun;LIU Gang;PAN Qingtao-.Review on artificial intelligence techniques for improving representative air traffic management capability)[J].系统工程与电子技术（英文版）,2022(05):1123-1134
A类：
lucrative
B类：
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AB值：
0.572835
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