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Technology of Network & Communication
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3461-3466

Vehicle location method based on vehicle network

Yang Yang1a
Lin Fei2a
Yu Dingguo1b
Yang Chen2b
Lin Qiang1a
1. a. Institute of Intelligent Media Technology, b. Dept. of Media Engineering, Communication University of Zhejiang, Hangzhou 310018, China
2. a. College of Computer Science, b. College of Accounting, Hangzhou Dianzi University, Hangzhou 310018, China

Abstract

The group behavior of the vehicle, which can accurately describe the movement law of the vehicle in the vehicle network. In the vehicle network, the vehicle with strong GPS signal can utilize its communication ability and its neighbor position relationship, which can be located within a certain distance. Real-time location calculations for vehicles with the same or similar destinations and weak GPS signals. The method first proposed a tag cluster partitioning algorithm for vehicle destination companion tags. It would classify vehicles with the same or similar destinations as their tags, mining the tag overlap structure, and mining the hierarchy to divide them. To the same tag cluster, they were clustered into an independent vehicle group. Then, this paper proposed a positioning algorithm based on the results of label partitioning, and a result correction algorithm to calculate the real-time position of the vehicle waiting for positioning. The experimental results show that compared with the similar method, the positioning error is reduced by 15%~35%. Under different traffic conditions, the stability of the result is improved by more than 25%. Therefore, the proposed positioning method is effective.

Foundation Support

国家自然科学基金资助项目(61602141)
浙江省重点研发计划资助项目(2019C03138)
浙江省基础公益研究计划资助项目(LGG18F020004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0285
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Technology of Network & Communication
Pages: 3461-3466
Serial Number: 1001-3695(2020)11-053-3461-06

Publish History

[2020-11-05] Printed Article

Cite This Article

杨阳, 林菲, 俞定国, 等. 一种基于车联网的车辆定位方法 [J]. 计算机应用研究, 2020, 37 (11): 3461-3466. (Yang Yang, Lin Fei, Yu Dingguo, et al. Vehicle location method based on vehicle network [J]. Application Research of Computers, 2020, 37 (11): 3461-3466. )

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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