Fleet and Flight Operations Integration and Optimization in a Mixed-Advanced Air Mobility Environment

The Fleet Logistics Optimization Engine (FLOE) is a multi-layered optimization system for determining the most efficient routes for deploying aircraft and ground crews for a UAS mission, building on nbsp;the Uncrewed Aviation Fleet and Flight Operations Optimization (UA-FFOpt) framework developed during Phase I. nbsp;In Phase II, we will further the optimizersrsquo; accuracy through streaming and modeling of weather and traffic data to produce real-time updates to the optimizersrsquo; inputs, which will help further dynamic route planning. Secondly, we will improve FLOErsquo;s data collection abilities by implementing an SQL database for aircraft management that will be critical for developing the anomaly detectors in the situational awareness subsystem designed to help UAS Service Suppliers perform better fleet and network management and make growth potential for future operations greater and safer. We will develop a feedback mechanism that utilizes the data gathered during flights to further improve the optimizers by improving the inputsrsquo; accuracy. Last, we will develop a user interface that can be used to control the entire system, including developing inputs and monitoring vehicles, weather, and traffic. These FLOE features will further fleet management capabilities as specified under A3.02 Advanced Air Traffic Management for Nontraditional Airspace Operations ndash; Focus Area 20 Airspace Operations and Safety ndash; Nontraditional Aviation Operations for Advanced Air Mobility (AAM).