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Air Traffic Decision Analysis During Convective Weather Events in Arrival Airspace

机译:到达空对流天气事件中的空中交通决策分析

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Decision making during convective weather events in the terminal area is shared among pilots and air traffic management, where uninformed decisions can result in wide-spread cascading delays with high-level impacts. Future traffic management systems capable of predicting terminal impacts will mitigate these unnecessary delays; however in order to realize this vision, it is important to understand the decision mechanisms behind convective weather avoidance. This paper utilizes an arrival adaptation of the Convective Weather Avoidance Model (CWAM) to investigate the catalysts for arrival traffic management decision making. The analysis is broken down by category of terminal airspace structure in addition to the type of decision. The results show that pilot behavior in convective weather is heavily dependent on the terminal airspace structure. In addition, pilot and air traffic management decisions in convective weather can be discriminated with large-scale weather features.
机译:航站楼和空中交通管理部门共享在候机楼区域进行对流天气事件期间做出的决策,在这些决策中,不知情的决策可能会导致广泛的级联延误,并产生高水平的影响。能够预测终端影响的未来流量管理系统将减轻这些不必要的延迟;然而,为了实现这一愿景,重要的是要了解避免对流天气的决策机制。本文利用对流天气回避模型(CWAM)的到达适应来研究到达交通管理决策的催化剂。除决策类型外,还按终端空域结构的类别对分析进行了细分。结果表明,对流天气中的飞行员行为在很大程度上取决于终端空域结构。此外,对流天气中的飞行员和空中交通管理决策可以与大规模天气特征区分开。

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