Lecchini, A and Giover, W and Lygeros, J and Maciejowski, J (2005) Monte Carlo optimization strategies for air-traffic control. Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference, 1. pp. 1-8.Full text not available from this repository.
The safety of the flights, and in particular conflict resolution for separation assurance, is one of the main tasks of Air Traffic Control. Conflict 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. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
|Divisions:||Div F > Control|
|Depositing User:||Cron Job|
|Date Deposited:||02 Sep 2016 17:34|
|Last Modified:||29 Sep 2016 10:40|