Flight-Based Control Allocation: Towards Human–Autonomy Teaming in Air Traffic Control

• Published in: Aerospace 2024-11, Vol.11 (11), p.919
• Main Authors: de Rooij, Gijs, Tisza, Adam Balint, Borst, Clark
• Format: Article
• Language: English
• Subjects: Air traffic control; Airspace; Allocations; Automation; Automobile industry; Aviation; Cognition & reasoning; Cognitive ability; Decision making; Flight; flight allocation; Human performance; Human-machine systems; human–automation teaming; Job satisfaction; Man-in-the-loop simulation; Methods; Taxonomy; Technology application; Traffic capacity; Workloads
• ISSN: 2226-4310; 2226-4310
• DOI: 10.3390/aerospace11110919

It is widely recognized that airspace capacity must increase over the coming years. It is also commonly accepted that meeting this challenge while balancing concerns around safety, efficiency, and workforce issues will drive greater reliance on automation. However, if automation is not properly developed and deployed, it represents something of a double-edged sword, and has been linked to several human–machine system performance issues. In this article, we argue that human–automation function and task allocation may not be the way forward, as it invokes serialized interactions that ultimately push the human into a problematic supervisory role. In contrast, we propose a flight-based allocation strategy in which a human controller and digital colleague each have full control authority over different flights in the airspace, thereby creating a parallel system. In an exploratory human-in-the-loop simulation exercise involving six operational en route controllers, it was found that the proposed system was considered acceptable after the users gained experience with it during simulation trials. However, almost all controllers did not follow the initial flight allocations, suggesting that allocation schemes need to remain flexible and/or be based on criteria capturing interactions between flights. In addition, the limited capability of and feedback from the automation contributed to this result. To advance this concept, future work should focus on substantiating flight-centric complexity in driving flight allocation schemes, increasing automation capabilities, and facilitating common ground between humans and automation.