Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3330-3333

Dynamic time warping algorithm for time zone segmentation

Kang Jun
Xu Weiqiang
Duan Zongtao
Huang shan
School of Information Engineering, Chang'an University, Xi'an 710064, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0279

Abstract

Trajectory clustering is one of the key points of urban traffic data mining, whose algorithm divides the trajectory into several clusters according to certain similarity indicators. In the complex road network environment, aiming at the inaccuracy of current similarity calculation methods such as DTW and SDTW, this paper proposed a dynamic time warding algorithm(SDTW+) for time zone segmentation to calculate the similarity. This method took the shape of the trajectory into consideration and could effectively improve the accuracy. The experimental part used different similarity algorithms and combined the hierarchical clustering algorithm to cluster the actual vehicle trajectories. Finally, this paper selected the average contour coefficient and the cluster success rate as the evaluation index to judge the effect of clustering with different similarity algorithms. The experimental results show that the average contour coefficient of the proposed algorithm is 33.86% and 12.94% higher than that of DTW and SDTW, respectively, meanwhile with the clustering success rate improved.

Foundation Support

陕西省重点科技创新团队项目 (2017KCT-29)
陕西省重点研发计划资助项目(2019ZDLGY17-08,2019ZDLGY03-09-01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0279
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3330-3333
Serial Number: 1001-3695(2020)11-026-3330-04

Publish History

[2020-11-05] Printed Article

Cite This Article

康军, 许卫强, 段宗涛, 等. 划时区分段的动态时间规整算法 [J]. 计算机应用研究, 2020, 37 (11): 3330-3333. (Kang Jun, Xu Weiqiang, Duan Zongtao, et al. Dynamic time warping algorithm for time zone segmentation [J]. Application Research of Computers, 2020, 37 (11): 3330-3333. )

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  • 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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