连续时间段内优先级四维轨迹优化模型

Jianyu Chu, Mengke Li, Yinfeng Li, Xian‐De Wu
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引用次数: 0

摘要

本文旨在缓解空域容量和流量的不平衡。以总延误时间最小为目标,考虑实际扇区运行情况和飞机飞行规则,在扇区容量限制和时间间隔最小的约束下,提出了发生延误时飞机优先排序的原则。在基于连续周期运行的轨迹模型中,建立了考虑飞机优先级的轨迹规划模型。对传统的遗传算法进行了改进,采用了增强的精英保留策略和双链染色体结构策略。实例研究表明,所提出的轨迹规划模型和求解算法使优化效果的延迟时间平均缩短71.77%,计算速度平均提高19.48%。在这种情况下,该模型似乎可以在相对较短的时间内为连续时间段运行的飞机提供具有安全性和及时性的轨迹分配策略。这样,扇区之间就可以不冲突地运行,同时有效地减少航班延误,最大限度地减少交通拥堵和事故隐患,最大限度地发挥扇区资源配置的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four-dimensional trajectory optimization model with priority in continuous time period
This article aims to mitigate the imbalance of capacity and flow in airspace. Targeting to minimize the total delay time, taking the real-life sector operation and aircraft flight rules into consideration, with constraints of sector capacity limit and minimal time interval, the principle to prioritize aircraft when the delay occurred was raised. A trajectory planning model with the priority of aircraft was then established in the model of trajectory based on operation in a continuous period. The traditional genetic algorithm was also improved through the strategy of enhanced elitism preserving and double-stranded chromosome structure. Case studies indicated that the proposed trajectory planning model and solution algorithm have contributed to, over the two periods, an average reduction of 71.77 % in the delay time on optimization effect, and an increase of 19.48 % in the calculation speed. In this case, the model appears to, in a relatively short time, provide a trajectory allocation strategy with security and timeliness, for aircraft operated in consecutive periods. As a result, the sectors can operate without any conflicts while effectively reducing flight delays, minimizing the traffic congestion and potential accidents, so as to take the most advantages of sector resources allocation.
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