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Time-of-Arrival Taxi Conformance Monitoring for Surface Operations

机译:地面操作的到达时间出租车一致性监控

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This paper presents a systematic procedure and required algorithms for time-of-arrival taxi conformance monitoring in air traffic surface operations. Time-of-arrival taxi conformance monitoring determines if an aircraft is able to pass or arrive at specified checkpoints on a taxi route on time. The proposed procedure is first based on predicting times of arrival at a checkpoint. Two different time-of-arrival prediction methods are presented. The dead-reckoning method assumes that the aircraft maintain a constant speed in the near future. In comparison, the intent modeling method assumes a dynamic speed profile that consists of a series of different segments. In each segment, the aircraft may accelerate, decelerate, or maintain a constant speed. Both the taxi route geometry and aircraft performance capabilities are used in establishing the natures and magnitudes of these segments. Next, a taxi conformance monitoring criterion is introduced that takes into consideration the range of feasible aircraft times of arrival at the checkpoint, or time controllability. It takes as inputs current measured aircraft states, aircraft speed limits, its maximum acceleration and deceleration capabilities, and distance to the checkpoint. Human-in-the-loop simulation traffic data from the Dallas-Fort Worth airport is used and Monte Carlo simulations are conducted over likely uncertainties of aircraft state measurements to evaluate the proposed methods in terms of time-of-arrival prediction accuracy, speed profile matching, and conformance prediction reliability.
机译:本文提出了一种在空中交通地面操作中对到达时间滑行符合性进行监控的系统程序和所需的算法。到达时间滑行符合性监控确定飞机是否能够按时通过或到达滑行路线上的指定检查点。建议的程序首先基于预测到达检查点的时间。提出了两种不同的到达时间预测方法。推算重推法假定飞机在不久的将来保持恒定的速度。相比之下,意图建模方法假定动态速度曲线由一系列不同的段组成。在每个部分中,飞机可能会加速,减速或保持恒定速度。滑行路线的几何形状和飞机性能均用于确定这些航段的性质和大小。接下来,引入出租车滑行监控标准,其中考虑了飞机到达检查站的可行时间范围或时间可控性。它以当前测量的飞机状态,飞机速度限制,其最大加速和减速能力以及到检查点的距离作为输入。使用了达拉斯-沃思堡机场的人在环仿真交通数据,并对飞机状态测量的可能不确定性进行了蒙特卡洛仿真,以根据到达时间的预测准确性,速度分布图评估所提出的方法匹配和一致性预测可靠性。

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