Informing New Concepts for UAS and Autonomous System Safety Management using Disaster Management and First Responder Scenarios

As emerging flight operations become more prevalent and increasingly automated and distributed, the capabilities and procedures for managing safety of vehicles and operations will also need to evolve. To address this challenge, the National Academies envisioned an In-Time Aviation Safety Management System (IASMS) resource for a wide range of aviation operations including current commercial operations as well as new advanced air mobility (AAM) operations. The suite of IASMS services, functions, and capabilities (SFCs) would be implemented in a federated approach and would address trends as well as individual operations. Through predictive modeling and data analysis, IASMS is envisioned to identify risks so that they can be mitigated, in-time, before a safety incident occurs.IASMS and its requisite set of SFCs will leverage a wide range of information. To better understand these new needs, the Flight Safety Foundation (FSF) worked with the aviation and humanitarian communities to develop and validate Disaster Management and First Responder (DMFR) scenarios. These scenarios were then used to identify IASMS data needs andf research issues. These include the ability to quickly "cordon off" airspace through temporary flight restrictions (TFRs) or other means, having clear definitions to enable automation-based algorithms for prioritizing operations, definition of airspace density metrics, standardization of altitude reporting, and an established basis for safety data metrics definition and collection.