Print Email Facebook Twitter A quantitative comparison study of a contextual and cognitive model of Air Traffic Controller workload Title A quantitative comparison study of a contextual and cognitive model of Air Traffic Controller workload Author Steiner, J.M. Contributor Sharpans'kykh, O.A. (mentor) Borst, C. (mentor) Faculty Aerospace Engineering Department Control & Operations Programme Air Traffic Management, Airports and Safety Date 2015-12-04 Abstract Up to this point, research into Air Traffic Controller workload has primarily focused on a number of discrete areas. However, it is widely recognized that different components from these respective fields all contribute to the workload an Air Traffic Controller experiences. Hence, this study has tried to bridge this gap by quantitatively comparing two previously developed models of Air Traffic Controller workload. For the comparison, the contextual Dynamic Density (DD) and the cognitive Man-machine Integration Design and Analysis System (MIDAS) have been chosen. This is due to the well-established nature of these models in their respective fields. In the comparison context of three Conflict Detection & Resolution scenarios, two consistent quantitative relations have been found between a number of DD and MIDAS variables respectively. The most consistent relation effectively illustrated the quantitative relation between the inter-aircraft distance based DD complexity and the MIDAS cognitive/average channel load. Given this relation, a much more thorough understanding has been obtained of how the workload quantification types proposed by both models relate to one-another. It was concluded that none of the models could effectively model the expected workload behavior in solitude. Therefore, it was proposed that knowledge from these models should be combined. Three of such model integration proposals have been given. The proposal in which the MIDAS channel loads were convoluted with the locally applicable DD complexity values appeared to illustrate the physically desired workload behavior. Subject air traffic controlworkloadcontextual workload modellingcognitive workload modellingquantitative model comparisonMIDASdynamic density To reference this document use: http://resolver.tudelft.nl/uuid:78593d20-738f-4e3f-a481-707fcc331810 Part of collection Student theses Document type master thesis Rights (c) 2015 Steiner, J.M. Files PDF Final_Report_M.Sc._Thesis ... _PRINT.pdf 5.69 MB Close viewer /islandora/object/uuid:78593d20-738f-4e3f-a481-707fcc331810/datastream/OBJ/view