Integrating and sequencing flows in Terminal Maneuvering Area by evolutionary algorithms

Integrating and sequencing flows in Terminal Maneuvering Area by evolutionary algorithms
复制标题

通过进化算法对终端机动区域的流程进行整合和排序

DOI:
--
复制
发表时间:
2011
期刊:
Symposium on Dependable Autonomic and Secure Computing
影响因子:
--
通讯作者:
M. A. Piera
M. A. Piera
中科院分区:
--
文献类型:
--
作者:
C. Zuniga;D. Delahaye;M. A. Piera

文献摘要

参考文献

被引文献

相似文献

提出了一种在终端机动区域(TMA)内进行多飞机流融合的新方法。这项工作的动机是目前大型机场附近的空域超载,需要更有效的方法来帮助控制器。为缓解空域拥挤,已经做了一些尝试,如最小间隔要求、自愿减少定期航班的谈判以及在主要机场建造额外的跑道。尽管如此,还需要进行更根本的改革,以改善现有空运能力的利用。目前的研究包括一个新的方法来优化一组飞机计划在一个给定的机场降落,它建议合并从不同的路线通过速度和路径变化的传入流。由于这样的问题引起的高组合,已经开发了一种随机优化算法,以建议每架飞机一个新的路线和速度剖面。这些变化旨在消除合并点的冲突,并根据其尾流湍流约束保持沿同一航线连接的飞机的间隔。优化准则基于与初始路径规划的最小偏差。该算法已成功地应用于大加那利机场在西班牙与真实的交通需求的样本,无冲突流合并顺利地产生与最佳的跑道喂养。
This paper presents a new approach for merging multiple aircraft flows in a Terminal Maneuvering Area (TMA). This work is motivated by the current overloaded airspace near large airports and the need of more efficient methods to help controllers. Some attempts to alleviate airspace congestion such as the minimum spacing requirements, negotiation of voluntary reductions in scheduled service, and the construction of additional runways at major airports have been done. Even though, more fundamental changes are needed to improve the use of available air capacity. Present research consists of a new approach to optimize a set of aircraft planned to land at a given airport; it is proposed to merge the incoming flows from different routes by mean of speed and path changes. Due to the high combinatoric induced by such a problem, a stochastic optimization algorithm has been developed in order to propose to each aircraft a new route and speed profile. Those changes aim to remove conflicts at merging points and to maintain separation of aircraft following the same route link according to their wake turbulence constraint. The optimization criteria is based on the minimum deviation from the initial path planning. This algorithm has been successfully applied to Gran Canaria airport in Spain with real traffic demand samples for which conflict free flow merging is produced smoothly with optimal runway feeding.
DOI: 10.1007/bfb0055923
发表时间: 1998
期刊: --
影响因子: --
作者:
Moshe Sipper
通讯作者: Moshe Sipper