Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

An advanced particle filtering algorithm for improving conflict detection in Air Traffic Control

Author(s):

I. Lymperopoulos, G. Chaloulos, J. Lygeros
Conference/Journal:

International Conference on Research in Air Transportation (ICRAT), Budapest, Hungary
Abstract:

Enhanced accuracy in aircraft conflict detection allows for more efficient use of the airspace and increased safety levels. Trajectory prediction lies at the heart of most conflict detection algorithms. By comparing the predicted trajectories of different aircraft against each other, we can detect real threats while avoiding false alarms. We show how trajectory prediction tools that account for weather forecast errors can improve the performance of a conflict detection scheme. Using information from multiple aircraft at different locations and time instants, wind forecast uncertainties are reduced increasing trajectory prediction accuracy. We present a particle filtering algorithm that can efficiently cope with the high dimensionality and the non-linearity of the problem and show how using this algorithm can improve considerably conflict detection rates in mid and short term horizon encounters.

Year:

2010
Type of Publication:

(01)Article
Supervisor:

J. Lygeros

File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { LymCha:2010:IFA_3684,
    author={I. Lymperopoulos and G. Chaloulos and J. Lygeros},
    title={{An advanced particle filtering algorithm for improving
	  conflict detection in Air Traffic Control}},
    booktitle={International Conference on Research in Air Transportation
	  (ICRAT)},
    pages={},
    year={2010},
    address={Budapest, Hungary},
    month=jun,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=3684}
}
Permanent link