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

来源：

WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL 4, PROCEEDINGS | 1998年

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

页码：688 / 694

页数：7

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