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Multi-layer Point Merge System for dynamically controlling arrivals on parallel runways

机译:多层POINT合并系统,用于在并行跑道上动态控制到达

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In order to efficiently and robustly land more aircraft on two parallel runways, search the conflict-free and less-delay reroute for arrival aircraft, we plan to control arrival aircraft with a novel trajectory operation model named Multi-layer Point Merge System (ML-PM). In this paper, firstly the notional example of ML-PM system is introduced, the characteristics of its horizontal and vertical profiles are described. Secondly, according to the availabilities on two parallel runways, the positions of aircraft on sequencing legs, a trajectory reroute model is built. After that, the geometric relations for conflict detection in merging zones are analyzed in details. Furthermore, two tests with runway re-assignment on and off are compared to study the performances of proposed ML-PM system, the numerical results have shown that: 1) both tests could generate conflict-free trajectories, 2) average delay, average landing interval, and makes-pan could be reduced by runway re-assignment. The relative improvement for average delay is 36.36%, for make-span and average landing interval is 1.35% and 1.36% respectively. However, the average flight time, flight distance, fuel consumption and CO2 emission will increase due to runway re-assignment, the relative increases are 13.49%, 1.11%, 13.49% and 13.49%, respectively. After that, a detailed study about the runway assignment is done, the changes of different indicators are analyzed. Finally, the conclusion is made, ML-PM system shows a very positive ability to dynamically control arrival flows to land on parallel runways.
机译:为了在两个平行的跑道上有效和强大的土地,搜索到达飞机的无冲突和较少延迟的REROUTE,我们计划使用名为多层合并系统的新轨迹操作模型来控制到达飞机(ML-下午)。在本文中,介绍了ML-PM系统的名义示例,描述了其水平和垂直轮廓的特性。其次,根据两个平行跑道的可用性,建立了飞机上的飞机位置,建立了轨迹重新路由模型。之后,详细分析了合并区域中冲突检测的几何关系。此外,与跑道重新分配的两个测试进行比较,以研究提出的ML-PM系统的性能,数值结果表明:1)两个测试可能会产生无冲突的轨迹,2)平均延迟,平均着陆间隔,可以通过跑道重新分配减少Make-Pan。平均延迟的相对改善为36.36%,对于制造跨度和平均着陆间隔分别为1.35%和1.36%。然而,由于跑道重新分配,平均飞行时间,飞行距离,燃料消耗和二氧化碳排放将增加,相对增加分别为13.49%,1.11%,13.49%和13.49%。之后,完成了关于跑道分配的详细研究,分析了不同指标的变化。最后,结论是,ML-PM系统显示出在平行跑道上动态控制到达流量的非常积极的能力。

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