An approach to cognitive simulation of air traffic controllers based on coloured petri nets
Because of intensively growing volumes of air traffic, aerodrome air traffic controllers face increasing workloads, having to deal with more aircraft in the same time. Computerized supporting systems are often meant to compensate for these effects. However, to investigate the actual impact of changed system conditions on the human operator, simulations are needed. Consequently, it is necessary to model the cognitive processes and behaviour of the air traffic controller (ATCO) as well as the airport traffic control system in general. Based on basic guidelines for the development of cognitive simulation, an approach for the development of a timed coloured petri net Model of Airport TRaffIc Control System (MATriCS) is presented. It displays ATCO and airport processes, and supports investigating the performance of both the airport traffic control system in general as well as the ATCO’s performance under changed system conditions such as computer support.
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