Title :
Aircraft and weather models for probabilistic collision avoidance in air traffic control
Author :
Lygeros, John ; Prandini, Maria
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
We propose a discrete time probabilistic model for predicting the future position of airliners, based on information about their current positions and flight plans. The model is used to derive an algorithm for detecting possible conflicts between aircraft, situations where the aircraft may come closer than a certain distance to one another with high probability.
Keywords :
air traffic control; collision avoidance; discrete time systems; probability; ATC; air traffic control; aircraft conflict detection; aircraft models; airliner position prediction; discrete time probabilistic model; flight plans; probabilistic collision avoidance; weather models; Aerospace control; Air safety; Air traffic control; Aircraft navigation; Algorithm design and analysis; Collision avoidance; Humans; Predictive models; Uncertainty; Wind forecasting;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184199
