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EGALITARIAN AND PRIORITIZED BALANCING DISTRIBUTION POLICIES STUDY USING DINIC'S MAXIMUM FLOW ALGORITHM

机译:使用大餐的最大流量算法,平均和优先平衡分配政策研究

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Air Traffic Flow Management (ATFM) is the regulation of air traffic in order to avoid exceeding the capacity of airport or flight sector in handling traffic, and to ensure that available capacity is used efficiently. To support the Brazilian Air Traffic Flow Management, we proposed a graph-based model which is named as Flow Balance Model (FBM) which is integrated to a Distributed Decision Support System applied to ATFM called SISCONFLUX. The FBM optimizes the flows of control sectors by using the wellknown Edmonds-Karp’s maximum flow algorithm. Nevertheless, it takes too much time to obtain results with this algorithm in some cases. Therefore, the aim of this work is to integrate another maximum flow algorithm (Dinic's algorithm) to FBM. The model has been tested by using two balancing distribution policies (egalitarian and prioritized) in cases of high and low frequency flow. The results obtained when running these two algorithms for real cases from Brazilian scenarios. The results indicate that the new one obtain equals flow balances more efficiently and costs lesser time in some cases, as well as their implementations, are compared and discussed in this work.
机译:空中流量管理(ATFM)是空中交通的调节,以避免超过机场或飞行部门在处理交通中的能力,并确保有效使用可用的容量。为了支持巴西空中流量管理,我们提出了一种基于图形的模型,该模型被称为流量平衡模型(FBM),该模型被集成到应用于ATFM的分布式决策支持系统,称为Sisconflux。 FBM通过使用众所周知的Edmonds-Karp的最大流量算法优化控制扇区的流量。然而,在某些情况下,使用该算法获得太多时间。因此,这项工作的目的是将另一个最大流量算法(Dinic算法)集成到FBM。在高低频率的情况下,通过使用两个平衡分配策略(平等和优先级)来测试该模型。从巴西方案运行这两种算法时获得的结果。结果表明,在某些情况下,在某些情况下,在某些情况下,在某些情况下,更有效地获得等于流量的余额,并且在某些情况下,在这项工作中讨论并讨论它们的实施时间。

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