Imperial College London
Alternate

Dr Nikolas Kantas

Faculty of Natural Sciences, Department of Mathematics

Reader in Statistics
 
 
 
//

Contact

 

+44 (0)20 7594 2772n.kantas Website

 
 
//

Location

 

538Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Kantas:2010:10.1002/acs.1204,
author = {Kantas, N and Lecchini-Visintini, A and Maciejowski, JM},
doi = {10.1002/acs.1204},
journal = {International Journal of Adaptive Control and Signal Processing},
pages = {882--899},
title = {Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management},
url = {http://dx.doi.org/10.1002/acs.1204},
volume = {24},
year = {2010}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Kantas,N
AU  - Lecchini-Visintini,A
AU  - Maciejowski,JM
DO  - 10.1002/acs.1204
EP  - 899
PY  - 2010///
SN  - 1099-1115
SP  - 882
TI  - Simulation-based Bayesian optimal design of aircraft trajectories for air traffic management
T2  - International Journal of Adaptive Control and Signal Processing
UR  - http://dx.doi.org/10.1002/acs.1204
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000283471000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/40831
VL  - 24
ER  -
Download