摘要: |
This paper reviews the achievements of the international community towards environmentally friendly aviationoperations, also referred to as Sustainable Aviation Operations in the last 25 years and the aspirations and goals tolimit the impact of aviation and climate in the future. The framework for achieving global progress is provided by theInternational Civil Aviation Organization. NASA and FAA supported research and development to advance ATMconcepts, and implemented the technology, concepts, and procedures that were responsible for creating fuel efficientflights. Historically aviation operations have been analyzed using physics-based models and provide information formaking 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 futureaviation systems. There is an increasing interest in applying methods based on Machine Learning Techniques toproblems in Air Traffic Management. Aviation operations involving many decision makers, multiple objectives, poor orunavailable physics-based models and the availability of a rich historical database provide opportunities to exploit therichness of data-driven methods. Although verifying and validating an AI system may not be different from introducingother complex systems, there are challenges in testing and certifying AI systems. Many of the emerging technologies inaviation need investment in infrastructure like vertiports and electric vehicle charging stations to meet the projecteddemand. They have to demonstrate value and earn community acceptance in order for the political system to invest inthe infrastructure. |