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Monte Carlo Optimization Strategies for Air-Traffic Control

Author(s):

A. Lecchini Visintini, W. Glover, J. Lygeros, Jan M. Maciejowski
Conference/Journal:

AIAA Guidance, Navigation and Control Conference and Exhibit, San Fransisco, California
Abstract:

The safety of the flights, and in particular conflict resolution for separation assurance, is one of the main tasks of Air Traffic Control. Confliict resolution requires decision making in the face of the considerable levels of uncertainty inherent in the motion of aircraft. We present a Monte Carlo framework for conflict resolution which allows one to take into account such levels of uncertainty through the use of a stochastic simulator. A simulation example inspired by current air traffic control practice illustrates the proposed conflict resolution strategy.

Year:

2005
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { VisEtal:2005:IFA_2585,
    author={A. Lecchini Visintini and W. Glover and J. Lygeros and Jan M.
	  Maciejowski},
    title={{Monte Carlo Optimization Strategies for Air-Traffic Control}},
    booktitle={AIAA Guidance, Navigation and Control Conference and
	  Exhibit},
    pages={},
    year={2005},
    address={San Fransisco, California},
    month=aug,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2585}
}
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