Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management
Author(s)
Kantas, N
Lecchini-Visintini, A
Maciejowski, JM
Type
Journal Article
Abstract
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.
Date Issued
2010-10-01
Date Acceptance
2010-08-31
Citation
International Journal of Adaptive Control and Signal Processing, 2010, 24 (10), pp.882-899
ISSN
1099-1115
Publisher
Wiley
Start Page
882
End Page
899
Journal / Book Title
International Journal of Adaptive Control and Signal Processing
Volume
24
Issue
10
Copyright Statement
© 2010 John Wiley & Sons, Ltd. This is the accepted version of the following article, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/acs.1204/abstract
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000283471000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Bayesian optimal design
Sequential Monte Carlo
Air traffic management
Conflict resolution
Probability
Systems
Models
Industrial Engineering & Automation
Electrical And Electronic Engineering
Applied Mathematics
Publication Status
Published