基于随机轨迹模型的策略出发前协调

T. Mitchell, M. Ohsfeldt
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引用次数: 2

摘要

基于弹道的作战(TBO)将依靠“协商的飞行路径”,以公平和有效的方式最大限度地满足个人用户(通过其用户偏好的轨迹表示)和整个系统的目标。尽管对飞行中战术弹道协调的研究较多,但对战略起飞前弹道协调的研究相对较少。在此,我们将重点放在海洋出发前的协调上,因为在FAA控制的空域中通常有足够的时间来调整轨迹,而在国内环境中,飞行的一小部分发生在战略轨迹协调可能更远的地方。这种协调的战略性质考虑了整个飞行时间的潜在竞争,通过起飞前四维(4D)随机轨迹模型适应随机起飞延误和计划变更。将需要一系列的能力来允许对飞行剖面进行协商。现有的能力,即动态海洋跟踪系统Plus (DOTS Plus),只能消除海洋入口点的轨迹冲突,而没有明确解决海洋入口点以外飞机轨迹之间的冲突。我们通过增强对空中导航服务提供商(ANSP)和空域用户的洞察力来探索协调水平。基于之前开发的出发前4D随机模型,本文旨在提出一个框架和算法,用于存储拥堵描述的数据,用于创建出发前计划,以及在情况变化允许之前被拒绝的请求得到满足时提醒用户。这些能力中的每一项都考虑到潜在的竞争和每个单独轨道整个飞行时间的诱导成本。
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Strategic pre-departure coordination with stochastic trajectory modeling
Trajectory Based Operations (TBO) will rely on “negotiated flight paths” to satisfy objectives of both individual users (expressed through their user preferred trajectories) and the whole system in an equitable and efficient manner to the fullest extent possible. Though there exist intensive research activities for in-flight, tactical trajectory coordination, relatively little work has been done on strategic pre-departure trajectory coordination. Herein, we focus on oceanic pre-departure coordination where there is often sufficient time in FAA controlled airspace to make adjustments to trajectories and smaller portions of the flight occur in the domestic environment where strategic trajectory coordination may be further away. The strategic nature of this coordination considers the potential contention along the entire flight time, accommodating random departure delay and planned changes through the pre-departure four-dimensional (4D) stochastic trajectory model. A series of capabilities will be required to allow a negotiation of flight profiles. The existing capability, the Dynamic Oceanic Track System Plus (DOTS Plus), only de-conflicts trajectory conflicts at the oceanic entry points without explicitly addressing the conflicts between aircraft trajectories beyond the oceanic entry points. We explore levels of coordination with enhanced insight for both the Air Navigation Service Provider (ANSP) and the airspace user. Based on the pre-departure 4D stochastic models previously developed, this paper aims to propose a framework and algorithms for storing data for congestion depiction, for creating a pre-departure plan, and for alerting users when a change in situation allows a previously denied request to be satisfied. Each of these capabilities takes into account potential contention and induced cost along the entire flight time of each individual trajectory.
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