An integrated conflict avoidance concept for aviation

J. Tadema, E. Theunissen
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引用次数: 9

Abstract

Conflict probing consists of predicting the future separation between ownship and hazards for a set of ownship velocity vectors, up to a predefined prediction horizon. Using predefined alert thresholds, the probing data indicates which ownship velocity vectors will lead to a future conflict and what the corresponding time to conflict is. This information can be used for automated conflict avoidance and for providing awareness and decision support in case operator involvement is desired. As probing is performed in real-time, the conflict space is continuously updated while the situation develops. E.g., unforeseen maneuvers of intruder aircraft will be reflected by corresponding changes of the conflict space. Probing data allows for the depiction of the predicted future separation on a display. Hence, it provides awareness without the need for the hazard itself to be displayed. Furthermore, conflict probing can provide a common framework for the computation of coordinated conflict avoidance maneuvers that include integration of multiple types of hazards and constraints such as vehicle performance and right-of-way rules. The concept is scalable in terms of probe dimensions, prediction algorithms, look-ahead time, alerting thresholds, types of hazards and level of operator involvement. Simulations can provide measures for determining minimal input data accuracy requirements, maximum look-ahead times and maneuver strategies that are least susceptible to uncertainties. The scalability enables a range of possible implementations, specifically matched to the concept of operation, the available data, interfaces and displays, allowing gradual implementation.
航空一体化冲突避免概念
冲突探测包括根据一组所有权速度向量预测所有权和危险之间的未来分离,直至预定义的预测范围。使用预定义的警报阈值,探测数据指示哪些所有权速度向量将导致未来的冲突,以及冲突的相应时间是什么。这些信息可用于自动避免冲突,并在操作员需要参与的情况下提供意识和决策支持。由于探测是实时进行的,冲突空间随着形势的发展而不断更新。例如,入侵者飞机的不可预见的机动将通过冲突空间的相应变化来反映。探测数据允许在显示器上描述预测的未来分离。因此,它提供了不需要显示危险本身的意识。此外,冲突探测可以为协调冲突避免机动的计算提供一个通用框架,包括多种类型的危险和约束的集成,如车辆性能和路权规则。该概念在探测尺寸、预测算法、预判时间、警报阈值、危险类型和操作员参与程度等方面具有可扩展性。模拟可以提供确定最小输入数据精度要求、最大预判时间和最不易受不确定性影响的机动策略的措施。可扩展性支持一系列可能的实现,特别是与操作概念、可用数据、接口和显示相匹配,允许逐步实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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