Artificial intelligence techniques for co-ordination in air traffic flow management

摘要

The purpose of this paper is to study the issues raised by the implementation of a tool aimed at protecting sectors against overload in a large-scale air traffic system, acting on the basis of short term prediction. It shows how to overcome the computational complexity using a decentralised and co-ordinated system composed by a co-ordination level and a control level. The study points on the co-ordination level which decompose the large sector network into several smaller overlapping subnetworks that can be controlled independently. This task is reached using heuristics and fuzzy logic reasoning.