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- W4283218056 abstract "This paper reviews the achievements of the international community towards environmentally friendly aviation operations, also referred to as Sustainable Aviation Operations in the last 25 years and the aspirations and goals to limit the impact of aviation and climate in the future. The framework for achieving global progress is provided by the International Civil Aviation Organization (ICAO). In the United States, the National Aeronautics and Space Agency (NASA) and the Federal Aviation Agency (FAA) supported research and development to advance Air Traffic Management (ATM) concepts, and implemented the technology, concepts, and procedures that were responsible for creating fuel efficient flights. Historically aviation operations have been analyzed using physics-based models and provide information for making operational decisions. The introduction of new class of vehicles in aviation operations require new concepts, procedure, modeling, and analysis techniques. Greater automation and decentralization will be key aspects of future aviation systems. There is an increasing interest in applying methods based on Machine Learning (ML) Techniques to problems in ATM. Aviation operations involving many decision makers, multiple objectives, poor or unavailable physics-based models and the availability of a rich historical database provide opportunities to exploit the richness of data-driven methods. Although approaches for developing trust in Artificial Intelligence (AI) systems will be similar to those used with other Information Technologies (IT) such as operating field demonstrations with airlines and airports over multiple years, there are challenges in testing and certifying AI systems for use in sustainable aviation operations where safety is paramount." @default.
- W4283218056 created "2022-06-22" @default.
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- W4283218056 date "2022-06-20" @default.
- W4283218056 modified "2023-10-10" @default.
- W4283218056 title "Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions" @default.
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- W4283218056 doi "https://doi.org/10.2514/6.2022-3705" @default.
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