The Aviation and Air Transportation Industry is a developing industry that continues to grow at an exponential rate. This growth is attributed to immense technological advancements and constant research into increasing optimization of the air transpor...
The Aviation and Air Transportation Industry is a developing industry that continues to grow at an exponential rate. This growth is attributed to immense technological advancements and constant research into increasing optimization of the air transportation. In turn, safety precautions equivalent to the magnitude of growth are required to ensure that air transportation remains safe. And thus, safety is a paramount aspect and necessity of the Aviation and Air Transportation Industry.
Among the various facilitators of Air Traffic Safety, an important one with a key role are the Air Traffic Controllers (ATCos). ATCos ought to make traffic control decisions promptly and swiftly to ensure traffic safety. They are responsible for numerous tasks and the rate at which these tasks are completed, and aircrafts safely guided through the various zones of the airspace to their destination, influences controllers’ workload. Hence, decision-making is undoubtedly a crucial part of air traffic control with a direct impact on Air Traffic Controllers’ workload.
This study focuses on workload evaluation for terminal capacity estimation. There are multiple ways that can be applied to estimate terminal capacity and the methods chosen in this research utilize Human-in-the-loop Simulation to assess Air Traffic Controller’s workload through NASA task load index (TLX), the use of the encephalogram (EEG) and Well Clear Score (WCS) with air traffic conditions of varying traffic complexity and density. The results based on these methods are analyzed and used to investigate the most suitable ATCo workload indicators, the factors that influence workload, and the application of these results for increasing or decreasing capacity relative to the ATCo’s capabilities.