Algorithm Research & Explore
|
416-420

Research on trajectory pattern mining based on trajectory clustering

Guo Weia
Tang Huifengb
a. Graduate School, b. College of Data & Target Engineering, Information Engineering University, Zhengzhou 450001, China

Abstract

Trajectory mode is a relatively stable flight mode of an aircraft in a certain period of time or a certain area, which is of great significance to understand and judge the behavior of the target in a certain period of time or a certain area. Aiming at the characteristics of target trajectory, this paper designed a trajectory clustering method based on line segment density and implemented on the basis of point density clustering algorithm. In this method, it divided the historical trajectory of the target into several trajectory segments according to the minimum description length principle, and clustered the flight trajectory by calculating the similarity between the trajectory segments. Finally, it generated the trajectory pattern of the target by scanning line algorithm. Experiments show that this method can accurately extract the trajectory patterns of aircraft targets from a large number of trajectory data.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0515
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 416-420
Serial Number: 1001-3695(2020)02-020-0416-05

Publish History

[2020-02-05] Printed Article

Cite This Article

郭威, 唐慧丰. 基于轨迹聚类的航空器轨迹模式挖掘研究 [J]. 计算机应用研究, 2020, 37 (2): 416-420. (Guo Wei, Tang Huifeng. Research on trajectory pattern mining based on trajectory clustering [J]. Application Research of Computers, 2020, 37 (2): 416-420. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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