DocumentCode :
3516055
Title :
Efficient Simulation for Testing Loss of Separation Algorithms
Author :
White, Allan L.
Author_Institution :
NASA Langley, Hampton, VA
fYear :
2008
fDate :
1-8 March 2008
Firstpage :
1
Lastpage :
9
Abstract :
Given increased air traffic and the possible use of autonomous vehicles, there is interest in the verification of separation algorithms. Because of the complexity of the environment and the presence of perturbations, a candidate approach is simulation and Monte Carlo. There are several desirable properties of the simulation: realism, portability, transparency, and efficiency. This paper is an initial effort using MATLAB to study a separation algorithm. An original separation algorithm was developed to make this project independent of any other effort. The algorithms and program were effective enough and efficient enough that the project will proceed.
Keywords :
Monte Carlo methods; air traffic control; aircraft control; collision avoidance; mathematics computing; MATLAB; Monte Carlo method; air traffic; autonomous vehicles; separation algorithms; simulation; testing loss; Aerospace control; Aerospace simulation; Aircraft; Algorithm design and analysis; Collision avoidance; Delay; MATLAB; NASA; Testing; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2008 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-1487-1
Electronic_ISBN :
1095-323X
Type :
conf
DOI :
10.1109/AERO.2008.4526580
Filename :
4526580
Link To Document :
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