Fall point probability density model based on Monte Carlo

DOI

10.2991/amitp-16.2016.83How to use a DOI?

Keywords

probability density lost plane Monte Carlo

Abstract

Searching a lost plane in open water is not an easy thing as we thought. To make the searching working more efficient, we build fall point probability density model to find a possible searching area of the lost plane. In our model, we first obtain an equation set about the position coordinate of the crashed plane. Then based on the Monte Carlo algorithm, we simulate 10000 points and get the distribution of the probability density of falling point. We also make it clear of different types of lost planes and discuss the influence of the cruising altitude and lift drag ratio. We finally get the probability density of the falling point and find out the prior search area.

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/).

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TY  - CONF
AU  - Rui Ma
PY  - 2016/09
DA  - 2016/09
TI  - Fall point probability density model based on Monte Carlo
BT  - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 430
EP  - 432
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.83
DO  - 10.2991/amitp-16.2016.83
ID  - Ma2016/09
ER  -