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Algorithm Research & Explore
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2044-2048

Segmentation-based trajectory simplification algorithm

Zhang Tian
Yang Zhiying
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China

Abstract

The high sampling rate of GPS makes the data set of the trajectory huge, which is difficult to handle in practical applications. It needs to rely on trajectory simplification algorithm to compress the original data. Aiming at this problem, this paper proposed a new simplification algorithm based on speed segmentation, namely STS algorithm, which preserved the spatiotemporal characteristics while preserving the velocity characteristics of a given trajectory. The STS algorithm divided the velocity values into several intervals and divided the trajectory into velocity-preserving segments. It calculated the SED threshold of each trajectory segment and derived a simplified trajectory by applying the TD-TR algorithm on each sub-trajectory segment. Extensive experiments with real datasets demonstrate that the proposed algorithm has better performance than ATS algorithms.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0090
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 2044-2048
Serial Number: 1001-3695(2019)07-029-2044-05

Publish History

[2019-07-05] Printed Article

Cite This Article

张甜, 杨智应. 基于分段的移动对象轨迹简化算法 [J]. 计算机应用研究, 2019, 36 (7): 2044-2048. (Zhang Tian, Yang Zhiying. Segmentation-based trajectory simplification algorithm [J]. Application Research of Computers, 2019, 36 (7): 2044-2048. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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