This paper presents new concepts to address the air traffic complexity modeling problem. Two new geometrical metrics have been introduced and have been found very useful to capture typical features of traffic complexity. The covariance metric is very adapted to identify disorder in a set of speed vectors and can be applied for en route airspace (en route airspace is the airspace between airports). Similarly, the Koenig metric identifies easily the curl movement organizations and can be applied to areas around airports where air traffic control procedures impose turns on aircraft trajectories.
Publié le : 2002-10-27
Classification:
aerospace control,
air traffic control,
aircraft navigation,
airports,
communication system,
traffic control,
electromagnetic compatibility,
road accidents,
time measurement,
waste materials,
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
@article{hal-00938408,
author = {Delahaye, Daniel and Paimblanc, Philippe and Puechmorel, St\'ephane and Histon, Jonathan and Hansman, John},
title = {A new air traffic complexity metric based on dynamical system modelization},
journal = {HAL},
volume = {2002},
number = {0},
year = {2002},
language = {en},
url = {http://dml.mathdoc.fr/item/hal-00938408}
}
Delahaye, Daniel; Paimblanc, Philippe; Puechmorel, Stéphane; Histon, Jonathan; Hansman, John. A new air traffic complexity metric based on dynamical system modelization. HAL, Tome 2002 (2002) no. 0, . http://gdmltest.u-ga.fr/item/hal-00938408/