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Simulation‐based Bayesian optimal design of aircraft trajectories for air traffic management
Author(s) -
Kantas N.,
LecchiniVisintini A.,
Maciejowski J. M.
Publication year - 2010
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.1204
Subject(s) - monte carlo method , air traffic control , bayesian probability , air traffic management , computer science , mathematical optimization , separation (statistics) , operations research , engineering , artificial intelligence , mathematics , machine learning , aerospace engineering , statistics
In this paper, we consider a specific Air Traffic Management problem, where multiple aircraft in a specific region are required to reach a different target zone in the minimum expected time, while maintaining safe separation. The problem is complicated by the presence of random wind disturbances. We propose a realistic policy to automatically generate optimal and safe maneuvres for each aircraft. The parameters of the optimal policy are computed using a sequential Monte Carlo approach. Copyright © 2010 John Wiley & Sons, Ltd.