Search for Missing Aircraft

DOI

10.2991/ameii-16.2016.196How to use a DOI?

Keywords

Multi-objective Optimization, Stochastic Process, Aerodynamics Model

Abstract

In this paper, a multi-objective optimization model is established for the search of missing aircraft considering the time, efficiency and cost. First, a probabilistic model is developed to determine the distribution of the aircraft's falling zone. Secondly, we provide a fair estimation of cost based on both a drift model and a resource allocation model. Given the data availability, the aforementioned approach has been shown to have the strong capability of optimizing a search scheme and significantly increase the rescue success rate. In addition, the usage of the model including but not limited to those by aircraft and ships and those for the suspected wreckage only by aircraft.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hui Xu
AU  - Yiming Li
PY  - 2016/04
DA  - 2016/04
TI  - Search for Missing Aircraft
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1030
EP  - 1035
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.196
DO  - 10.2991/ameii-16.2016.196
ID  - Xu2016/04
ER  -