Aircraft conflict resolution method based on hybrid ant colony optimization and artificial potential field

查看全文 作　　者：Huaxian [1,2]LIU;Feng [1,2]LIU;Xuejun [1,2]ZHANG;Xiangmin [3]GUAN;Jun [4]CHEN;Pascal [5]SAVINAUD

机构地区：[1]School of Electronic and Information Engineering,Beihang University,Beijing 100191,China;[2]National Key laboratory of Communication,Navigation,Surveillance and Air Traffic Management (CNS//ATM),Beihang University,Beijing 100191,China;[3]Department of General Aviation,Civil Aviation Management Institute of China,Beijing 100102,China;[4]School of Engineering and Materials Science,Queen Mary University of London,London E14NS,UK;[5]Direction des Services de la Navigation Adrienne (DSNA),Reims51100,France

出　　处：《Science China(Information Sciences)》索引2018年第61卷第12期,共3页

基　　金：supported by National Natural Science Foundation of China (Grant No. U1533119);State Key Program of National Natural Science Foundation of China (Grant No. 71731001) 摘　　要：Dear editor, With the significant growth of the civil aviation industry and especially its rapid development in booming economies such as that of China,air traffic flow is drastically increasing,leading to greater congestion around airport terminal areas and in busy airspace [i].The substantial increase in air traffic flow has intensified the risk of violating safe separation regulations,endangering the airspace operational safety.Furthermore,as the result of this significant growth has resulted in problems such as longer delays,which increase fuel consumption and cost the airline industry billions of dollars every year [2,3]. 关键词：COLONY OPTIMIZATION artificial POTENTIAL FIELD

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Aircraft conflict resolution method based on hybrid ant colony optimization and artificial potential field

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