Statistical analysis of an air traffic control problem

Brentnall, A.R., Cheng, R.C.H. and Drew, A. (2004) Statistical analysis of an air traffic control problem. International Journal of Simulation, Systems Science and Technology, 5, 26-32.


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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.

Item Type: Article
ISSNs: 1473-8031 (print)
Related URLs:
Keywords: air traffic control, simulation, experimentation, validation, statistical analysis
Subjects: Q Science > QA Mathematics
Divisions : University Structure - Pre August 2011 > School of Mathematics > Operational Research
ePrint ID: 29728
Accepted Date and Publication Date:
Date Deposited: 12 May 2006
Last Modified: 31 Mar 2016 11:55

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