协助空中交通管理的决策支持架构

Sreeta Gorripaty, M. Hansen, Alexey Pozdnukhov
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引用次数: 6

摘要

制定和实施空中交通管理措施,以减少因天气和机场需求的不确定性而造成的延误。自动取款机的决策是由交通流量管理专家根据他们的判断和经验做出的。机场运行的历史数据可以用来协助决策,通过智能地增加管制员的经验,更系统和完整地记录过去在类似条件下的ATM操作及其后果。决策支持工具可以找到与天气特征驾驶能力相似的查询日,用于指导操作日决策和评估过去的性能。根据机场的运作结果,制定了一个评估不同相似度措施的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decision support framework to assist air traffic management
Air traffic management (ATM) initiatives are developed and implemented to mitigate delays caused by uncertainty in weather and demand at an airport. ATM decisions are made by traffic flow management specialists, based on their judgment and experience. Historical data on airport operations can be used to assist decision-making by intelligently augmenting controller experience with a more systematic and complete record of past ATM actions under similar conditions and their consequences. A decision-support tool that finds days similar to a query day with regard to weather features driving capacity can be used to guide day-of-operations decisions and assess past performance. A framework to evaluate different similarity measures is developed based on operational outcomes of the airport.
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