Handling the pseudo pilot assignment problem in air traffic control training by using NASA TLX

Abstract

Simulator courses play an important role in a department training air traffic controllers (ATCOs). One of the most important elements of these courses is a pseudo-pilot (PP) who has active tasks during simulator training. At Eskisehir Technical University (ESTU) PP assignments are made manually to meet the demand of related courses by considering the availability of PP. Even where it is attempted to assign each PP equally in terms of period, personal workloads differ due to the different psychological (mental) and physiological requirements of the simulator tasks. In this study, the PP assignment problem is investigated using mixed-integer programming (MIP). For this purpose, firstly, an equal period assignment to pilots was attempted with a mathematical model, called the Equality of Periods Model (EPM). Then, simulator tasks were weighted using the NASA Task Load Index (NASA TLX), and an Equality of Workload Model (EWLM) was created based on these weights. Finally, these models were combined to make fair assignments with the Fair Model (FM). The results indicate that the proposed models significantly reduce the differences of workload and working period compared to manual assignment (MA).