Statistical analysis of an air traffic control problem
Statistical analysis of an air traffic control problem
A discrete-event simulation has been built to evaluate effects of scheduling strategies on Air Traffic Control. This paper considers some practical issues in the application of standard statistical methods in validation and experimentation analysis on this type of simulation model. Using the model as an example we demonstrate how careful application of a variety of statistical methods including bootstrapping, hypothesis testing, goodness-of-fit techniques, Analysis of Variance, non-parametric methods and regression are needed to gain a solid understanding of the simulation models behaviour.
air traffic control, simulation, experimentation, validation, statistical analysis
16-21
Brentnall, A.R.
65a71efc-ae41-48c2-816f-60e7e3e141f0
Cheng, R.C.H.
a4296b4e-7693-4e5f-b3d5-27b617bb9d67
Drew, A.
d3391853-6f3c-4588-9357-5de625c141dd
2004
Brentnall, A.R.
65a71efc-ae41-48c2-816f-60e7e3e141f0
Cheng, R.C.H.
a4296b4e-7693-4e5f-b3d5-27b617bb9d67
Drew, A.
d3391853-6f3c-4588-9357-5de625c141dd
Brentnall, A.R., Cheng, R.C.H. and Drew, A.
(2004)
Statistical analysis of an air traffic control problem.
Proceedings: UKSIM 2004: 7th UK Simulation Society Conference, Oxford, UK.
28 - 30 Mar 2004.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
A discrete-event simulation has been built to evaluate effects of scheduling strategies on Air Traffic Control. This paper considers some practical issues in the application of standard statistical methods in validation and experimentation analysis on this type of simulation model. Using the model as an example we demonstrate how careful application of a variety of statistical methods including bootstrapping, hypothesis testing, goodness-of-fit techniques, Analysis of Variance, non-parametric methods and regression are needed to gain a solid understanding of the simulation models behaviour.
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Published date: 2004
Venue - Dates:
Proceedings: UKSIM 2004: 7th UK Simulation Society Conference, Oxford, UK, 2004-03-28 - 2004-03-30
Keywords:
air traffic control, simulation, experimentation, validation, statistical analysis
Organisations:
Operational Research
Identifiers
Local EPrints ID: 29727
URI: http://eprints.soton.ac.uk/id/eprint/29727
PURE UUID: 719579a3-79a6-45e4-9393-af3e1b10af78
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Date deposited: 12 May 2006
Last modified: 08 Jan 2022 18:56
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Contributors
Author:
A.R. Brentnall
Author:
A. Drew
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