Case Study: Influences of Uncertainties and Traffic Scenario Difficulties in a Human-in-the-Loop SimulationThis 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 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.
Document ID
20140008607
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Bienert, Nancy (San Jose State Univ. Moffett Field, CA, United States)
Mercer, Joey (San Jose State Univ. Moffett Field, CA, United States)
Homola, Jeffrey (San Jose State Univ. Moffett Field, CA, United States)
Morey, Susan (San Jose State Univ. Moffett Field, CA, United States)
Prevot, Thomas (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
June 30, 2014
Publication Date
May 26, 2014
Subject Category
Man/System Technology And Life SupportBehavioral Sciences
Report/Patent Number
ARC-E-DAA-TN13889Report Number: ARC-E-DAA-TN13889
Meeting Information
Meeting: International Conference on Research in Air Transportation (ICRAT)