Simulation of air traffic controllers' behaviour using the operator choice model

Wicks, J., Connelly, S. F., Lindsay, P. A., Neal, A. F., Wang, J. S. and Chitoni, R. (2005). Simulation of air traffic controllers' behaviour using the operator choice model. In: A. Zerger and R. M. Argent, MODSIM 2005 Interational Congress on Modelling and Simulation. MODSIM05, Melbourne, (3023-3029). 12-15 December, 2005.

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Author Wicks, J.
Connelly, S. F.
Lindsay, P. A.
Neal, A. F.
Wang, J. S.
Chitoni, R.
Title of paper Simulation of air traffic controllers' behaviour using the operator choice model
Conference name MODSIM05
Conference location Melbourne
Conference dates 12-15 December, 2005
Proceedings title MODSIM 2005 Interational Congress on Modelling and Simulation
Place of Publication Canberra, ACT
Publisher Modelling and Simulation Society of Australia and New Zealand
Publication Year 2005
Sub-type Fully published paper
ISBN 0-9758400-2-9
Editor A. Zerger
R. M. Argent
Volume 2005
Start page 3023
End page 3029
Total pages 7
Collection year 2005
Language eng
Abstract/Summary The Operator Choice Model (OCM) was developed to model the behaviour of operators attending to complex tasks involving interdependent concurrent activities, such as in Air Traffic Control (ATC). The purpose of the OCM is to provide a flexible framework for modelling and simulation that can be used for quantitative analyses in human reliability assessment, comparison between human computer interaction (HCI) designs, and analysis of operator workload. The OCM virtual operator is essentially a cycle of four processes: Scan 􀃆 Classify 􀃆 Decide Action 􀃆 Perform Action. Once a cycle is complete, the operator will return to the Scan process. It is also possible to truncate a cycle and return to Scan after each of the processes. These processes are described using Continuous Time Probabilistic Automata (CTPA). The details of the probability and timing models are specific to the domain of application, and need to be specified using domain experts. We are building an application of the OCM for use in ATC. In order to develop a realistic model we are calibrating the probability and timing models that comprise each process using experimental data from a series of experiments conducted with student subjects. These experiments have identified the factors that influence perception and decision making in simplified conflict detection and resolution tasks. This paper presents an application of the OCM approach to a simple ATC conflict detection experiment. The aim is to calibrate the OCM so that its behaviour resembles that of the experimental subjects when it is challenged with the same task. Its behaviour should also interpolate when challenged with scenarios similar to those used to calibrate it. The approach illustrated here uses logistic regression to model the classifications made by the subjects. This model is fitted to the calibration data, and provides an extrapolation to classifications in scenarios outside of the calibration data. A simple strategy is used to calibrate the timing component of the model, and the results for reaction times are compared between the OCM and the student subjects. While this approach to timing does not capture the full complexity of the reaction time distribution seen in the data from the student subjects, the mean and the tail of the distributions are similar.
Subjects E1
280210 Simulation and Modelling
690301 Air transport
Keyword Human computer interaction
traffic control
human reliability assessment
reaction time
logistic modelling
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

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Created: Thu, 23 Aug 2007, 21:05:31 EST