A Framework for Extracting Abstracted Route Graphs Toward Air Traffic Flow Modeling
A Framework for Extracting Abstracted Route Graphs Toward Air Traffic Flow Modeling
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DOI：
10.1109/smc53654.2022.9945339
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
K. Uehara;K. Hiraishi
中科院分区：
文献类型：
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作者：
K. Uehara;K. Hiraishi
本文研究了基于空域飞行轨迹数据的空中交通流建模问题。与公路/火车交通相比，空中交通流的建模是困难的，因为每个飞机的轨迹由于诸如天气和拥挤程度的各种因素而在三维空间中波动。因此，寻找飞机频繁经过的重要航线是建立空中交通流模型的必要条件。我们提出了一个框架，找到重要的路线的图形形式的基础上结合各种技术，如空间划分，轨迹聚类，骨架提取。
In this paper, we study modeling of air traffic flow from flight trajectory data in the airspace. Compared to road/train traffic, modeling of air traffic flow is difficult because trajectory of each aircraft fluctuates in the 3-dimensional space due to various factors such as weather and congestion level. By this reason, finding important routes on which aircrafts frequently pass is necessary for building air traffic flow models. We propose a framework for finding important routes in the form of graphs based on combination of various technologies such as space partition, trajectory clustering, and skeleton extraction.