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Integrated optimization of terminal maneuvering area and airport at the macroscopic level

机译:宏观层面上对终端操纵区域和机场的综合优化

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Airports and surrounding airspaces are limited in terms of capacity and represent the major bottlenecks of the air traffic management system. This paper addresses the problems of terminal airspace management and airport congestion management at the macroscopic level through the integrated control of arrivals and departures. Conflict detection and resolution methods are applied to a predefined terminal route structure. Different airside components are modeled using network abstraction. Speed, arrival and departure times, and runway assignment are managed by using an optimization method. An adapted simulated annealing heuristic combined with a time decomposition approach is proposed to solve the corresponding problem. Computational experiments performed on case studies of Paris Charles De-Gaulle airport show some potential improvements: First, when the airport capacity is decreased, until a certain threshold, the overload can be mitigated properly by adjusting the aircraft entry time in the Terminal Maneuvering Area and the pushback time. Second, landing and take-off runway assignments in peak hours with imbalanced runway throughputs can significantly reduce flight delays. A decrease of 37% arrival delays and 36% departure delays was reached compared to baseline case.
机译:机场和周围的空域在容量方面受到限制,并且是空中交通管理系统的主要瓶颈。本文通过对到达和离开的综合控制,从宏观层面解决了终端空域管理和机场拥挤管理的问题。冲突检测和解决方法应用于预定义的终端路由结构。使用网络抽象对不同的空侧组件进行建模。速度,到达和离开时间以及跑道分配通过使用优化方法进行管理。提出了一种结合时间分解的模拟退火启发式算法来解决相应的问题。通过对巴黎查尔斯·戴高乐机场的案例研究进行的计算实验显示出一些潜在的改进:首先,当机场容量减少到一定阈值时,可以通过调整终端机操作区中的飞机进入时间来适当地减轻过载。推迟时间。其次,在高峰时间内,跑道吞吐量不平衡的起降跑道分配可以大大减少航班延误。与基线情况相比,到达延迟时间减少了37%,出发延迟时间减少了36%。

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