Simulation‐based Bayesian optimal design of aircraft trajectories for air traffic management | Zendy

Kantas N. | Zendy; LecchiniVisintini A. | Zendy; Maciejowski J. M. | Zendy

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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.

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