Flight Modeling and Trajectory Prediction for Diverse Applications

A fast and flexible Multimodal Adaptable Trajectory Generator (MATG) was developed and tested on the Java Architecture for Detect-and-Avoid (DAA) Extensibility and Modeling (JADEM) software research platform. MATG can generate trajectories for various pilot procedures and operations, including traditional point-to-point flights in the National Airspace System (NAS), maneuvers required for piloted and autonomous detect-and-avoid (DAA) systems, and new flight procedures for Urban Air Mobility (UAM) airspace. MATG can handle various constraints in many different combinations. It can be easily adapted for modeling traditional aircraft using aircraft performance models from the Base of Aircraft Data (BADA), and unconventional aircraft not currently supported by BADA, such as electric Vertical Take-Off and Landing (eVTOL) aircraft relevant for UAM operations. This paper describes the MATG data model, algorithm, and applications.