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Lagrangian delay predictive model for sector based air traffic flow

Author(s):

A.M. Bayen, P. Grieder, C. J. Tomlin
Conference/Journal:

to appear in the AIAA Journal on Guidance, Control and Dynamics.
Abstract:

We derive a control theoretic model of sector-based air traffic flow using hybrid automata theory. This model is Lagrangian, meaning that it models the properties of the system along its trajectories. A subset of this model is used to generate analytic predictions of air traffc congestion: we defne and derive a dynamic sector capacity which we use to predict the time it takes to overload a given portion of airspace. This result links our approach with Eulerian models, which account for temporal variations of parameters in a fixed volume. We design and validate an air traffic flow simulator, to assess the accuracy of our predictions. The simulator is then used to show that flow scheduling and conflict resolution may be decorrelated under assumptions on aircraft density.

Year:

2003
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { BayGri:2003:IFA_424,
    author={A.M. Bayen and P. Grieder and C. J. Tomlin},
    title={{Lagrangian delay predictive model for sector based air
	  traffic flow}},
    journal={NONE},
    year={2003},
    volume={},
    number={},
    pages={},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=424}
}
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