CUED Publications database

Monte Carlo optimization strategies for air-traffic control

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.

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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.

Item Type: Article
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:44
Last Modified: 09 Sep 2021 00:33
DOI: 10.2514/6.2005-5821