The University of Southampton
University of Southampton Institutional Repository

Statistical analysis of an air traffic control problem

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
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. pp. 16-21 .

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.

This record has no associated files available for download.

More information

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

Catalogue record

Date deposited: 12 May 2006
Last modified: 08 Jan 2022 18:56

Export record

Contributors

Author: A.R. Brentnall
Author: R.C.H. Cheng
Author: A. Drew

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×