Dealing with complexity in air traffic flow management

被引:0
|
作者
Zerrouki, L [1 ]
Bouchon-Meunier, B [1 ]
Fondacci, R [1 ]
机构
[1] INRETS, F-94114 Arcueil, France
关键词
large-scale system; decomposition; fuzzy model; approximate reasoning; neural network; Air Traffic Flow Management;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The paper presents a methodological approach in the area of complex system studies. It provides a description of a model aimed at protecting air traffic sectors against overload in a large-scale air traffic system. In such a problem, different aspects must be taken into account : data uncertainty, complexity due to the large dimension of the air traffic system, structural and functional interactions, etc. The model proposed is a decentralised and co-ordinated system composed of a co-ordination level and a control level. The study points on the co-ordination level which decomposes the large sector network into several smaller overlapping subnetworks that can be controlled independently using a fuzzy interaction prediction method.
引用
收藏
页码:688 / 694
页数:7
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