Identifying Common Use Cases across Extensible Traffic Management (xTM) for Interactions with Air Traffic Controllers
AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
NASA’s Extensible Traffic Management (xTM) builds on the foundation and the architecture of Unmanned Aircraft Systems (UAS) Traffic Management (UTM) concept and extends it broadly to other domains, such as Advanced / Urban Air Mobility (AAM/UAM) and Upper Class E Traffic Management (ETM). These xTM concepts assume the ability to fly in airspace that is authorized to operate solely under xTM services and mostly without any air traffic control (ATC) support. However, they also assume circumstances in which the xTM vehicles would need to operate in conventional ATC-managed airspace, both during nominal and off-nominal scenarios. Due to the vast differences in the xTM vehicle performances and missions, there is a concern that ATC may have difficulty in safely managing the xTM traffic and providing appropriate services to all vehicles, unless a consistent set of roles, procedures, and data exchange requirements are defined across the diverse set of xTM vehicle operations. In this paper, we describe a set of use cases that have been identified in UTM, AAM/UAM, and ETM operations that are related to ATC interactions, and we propose to categorize these use cases across xTM domains based on common trigger events. Organizing the use cases from the perspective of ATC roles per each trigger event is expected to provide the first step in discovering common procedures and data requirements across xTM domains that could help ease the controllers’ cognitive task load and allow them to manage these interactions more safely.
Paul U. Lee, Ryan Chartrand, Rosa Oseguera-Lohr, Connie L. Brasil, Deborah L. Bakowski, Conrad V. Gabriel, and Mark Evans. "Identifying Common Use Cases across Extensible Traffic Management (xTM) for Interactions with Air Traffic Controllers" AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 (2022). https://doi.org/10.2514/6.2022-1785