Case study: Influences of Uncertainties and Traffic Scenario Difficulties in a Human-In-The-Loop Simulation

This paper presents a case study of how factors such as wind prediction errors and metering delays can influence controller performance and workload in Human-In-The-Loop simulations. Retired air traffic controllers worked two arrival sectors adjacent to the Atlanta terminal area. The main tasks were to provide safe air traffic operations and deliver the aircraft to the metering fix within ±25 seconds of the scheduled arrival time with the help of provided decision support tools. Analyses explore the potential impact of metering delays and system uncertainties on controller workload and performance. The results suggest that trajectory prediction uncertainties impact safety performance, while metering fix accuracy and workload appear subject to the scenario difficulty. Keywords— trajectory uncertainties, difficulty, metering delay, decision support tools