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Evaluation of an Integrated Arrival Scheduling and Automated Conflict Detection and Resolution System

机译:综合到达调度和自动冲突检测与解决系统的评估

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Performance of a prototype, ground-based automation system capable of generating fuel-efficient, continuous-descent approach trajectories for all arrival aircraft in a given airspace that are also conflict-free and conform to arrival-time metering constraints is evaluated. The prototype system is evaluated using a combination of runway time-in-trail constraints and calibrated airspeed uncertainty magnitudes. This includes a comparison of analysis of two traffic data and airport configuration scenarios (simple and complex). Three metrics are presented: the first is the percentage of cases that meet the time-in-trail constraint to within a 20-second tolerance. Under both scenarios, the performance of the system is degraded when greater airspeed uncertainty is modeled. Also, the system performs better in the simple traffic scenario indicating that traffic mixes and airport configurations might play a role in system performance. The second metric is used to study system safety by determining the minimum scheduling-time buffer necessary to achieve a 60-second minimum time-in-trail interval at the runway. For the simple traffic scenario, a smaller buffer is sufficient as compared to the complex traffic scenario. Also in both traffic scenarios, the higher the airspeed uncertainty, the larger the spacing buffer required to ensure that the minimum spacing requirement is met. The third metric is scheduling precision, which is used for investigating the need for feedback. Results show that during high traffic periods, tighter coupling of the scheduling and resolution generation system may improve performance, but further work is necessary for a definitive answer.
机译:评估了能够为给定领空中的所有到达飞机产生节油,连续下降进场轨迹的原型地面自动化系统的性能,这些轨迹也没有冲突并且符合到达时间的计量约束。结合跑道时间约束和校准的空速不确定性幅度对原型系统进行评估。其中包括对两种交通数据和机场配置方案(简单和复杂)的分析比较。提出了三个指标:第一个指标是满足跟踪时间限制并在20秒的容差范围内的案例所占的百分比。在这两种情况下,如果对更大的空速不确定性进行建模,系统的性能就会下降。同样,该系统在简单的交通场景中表现更好,表明交通混合和机场配置可能会影响系统性能。第二个度量标准用于通过确定在跑道上达到60秒的最小跟踪时间间隔所需的最小调度时间缓冲区来研究系统安全性。对于简单的流量情况,与复杂的流量情况相比,较小的缓冲区就足够了。同样在两种交通场景中,空速不确定性越高,确保满足最小间距要求所需的间距缓冲越大。第三个指标是调度精度,用于调查反馈的需求。结果表明,在繁忙时段,调度和解决方案生成系统的更紧密耦合可以提高性能,但是要确定答案,还需要进一步的工作。

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