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Optimising aircraft arrivals in terminal airspace by mixed integer linear programming model

机译:混合整数线性编程模型优化飞机到终端空域到达

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摘要

Air traffic flow becomes denser and more complex within terminal manoeuvering areas (TMAs) due to rapid growth rates in demand. Effective TMA arrival management plays a key role in the improvement of airspace capacity, flight efficiency and air traffic controller performance. This study proposes a mixed integer linear programming model for aircraft landing problems with area navigation (RNAV) route structure using three conflict resolution and sequencing techniques together: flexible route allocation, airspeed reduction and vector manoeuver. A two-step mixed integer linear programming model was developed that minimises total conflict resolution time and then total airborne delay using lexicographic goal programming. Experimental results demonstrate that the model can obtain conflict-free and time optimal aircraft trajectories for RNAV route structures.
机译:由于需求快速增长率,空中交通流量在终端修理区域(TMA)内变得更加密度和更复杂。有效的TMA到达管理在提高空域能力,飞行效率和空中交通控制器性能方面发挥着关键作用。本研究提出了一种使用三种冲突分辨率和测序技术的区域导航(RNAV)路径结构的飞机着陆问题混合整数线性规划模型:柔性路线分配,空速减少和矢量手术。开发了一种两步混合整数线性编程模型,可最大限度地减少总冲突解决时间,然后使用词典目标编程进行总空中延迟。实验结果表明,该模型可以获得RNAV路线结构的无冲突和时间最佳飞机轨迹。

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