人工智能在空中交通管理网络运行中的应用

Z. Chaudhry, K. Fox
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引用次数: 0

摘要

空中交通管理(ATM)在未来几年面临着巨大的压力和重大挑战。该行业受到安全、容量、服务成本、效率和环境的驱动。“持续的交通增长、空域和机场容量的结构性问题,以及极端天气事件,都需要新的方法来重塑当今的运营和商业模式”b[1]。如果航空业要处理预测的交通水平,以及应对即将出现的新飞行模式,包括无人机系统(UAS)和太空,“我们的系统在处理大量数据和做出明智决策的能力方面向前迈出一步将是至关重要的”[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Applicability to Air Traffic Management Network Operations
Air Traffic Management (ATM) is under great pressure and facing major challenges in the coming years. The industry is driven by safety, capacity, cost of service, efficiency and the environment. "Continuous traffic growth, structural airspace and airport capacity issues, and extreme weather events call for new approaches to reshape today’s operations and business models" [1]. If the aviation industry is to handle the levels of traffic predicted, as well as to cope with new flight modalities on the horizon, including Unmanned Aerial Systems (UAS) and space, "It will be essential to take a step forward in the capabilities of our systems to cope with the flood of data and to make intelligent decisions" [2].
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