AeroTech's Autonomous Weather Hazard Avoidance Model will provide benefits to ATM research efforts, autonomous maneuvering of UAV, and as a technology cost-benefit analysis tool. The proposed Model will provide the FAA, the Joint Planning and Development Office, higher educational institutions, and commercial research organizations a tool to examine NextGen capacity and throughput issues due to aircraft weather detection and mitigation capabilities and weather avoidance policies. Understanding the benefits of aircraft capabilities (PBO) will enable the development of techniques to safely maximize airspace usage. Aircraft operators and system developers can use the proposed Model in simulations to analyze the cost-benefits (operational efficiency and safety) of specific aircraft weather hazard detection systems and weather hazard information dissemination systems to support purchase decisions and development decisions respectively. The Model when integrated with UAV sensors, data links, and flight controls will enable enhanced autonomous maneuvering around weather and could assist certification for NAS operations.
When the goals of the Phase II research and development are met, the Autonomous Weather Hazard Avoidance Model will be supportive of NASA's NextGen-Airspace program's goal to develop methodologies and techniques to minimize or solve the demand/capacity imbalance problem in the NextGen future. The proposed Model will support level 1 and 2 research areas in Traffic Flow Management (TFM), Separation Assurance, and System-Level Design Analysis & Simulation Tools by improving the autonomous decision making capabilities of simulation aircraft, enabling the exploration of Performance Based Operations (PBO) based on aircraft weather detection capabilities, enabling the assessment of 4-D weather cube information for PBO, and enabling the development and testing of new TFM techniques that maximize airspace usage through PBO. AWHAM will also enhance NASA's laboratories and simulation tools and efforts in Modeling and Simulation.
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