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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
495-500

Novel map-matching algorithm based on low-frequency GPS sampling data in complex road networks

Huang Zhenfeng1a
Qiao Shaojie1b,1c
Han Nan1d
Yuan Chang'an2,3
Xu Yuanping1b
Cao Liang1b,1c
Qin Xiao3
Wei Junlin1b
1. a. School of Cybersecurity, b. School of Software Engineering, c. Software Automatic Generation & Intelligent Service Key Laboratory of Sichuan Province, d. School of Management, Chengdu University of Information Technology, Chengdu 610225, China
2. Guangxi College of Education, Nanning 530007, China
3. School of Computer & Information Engineering, Nanning Normal University, Nanning 530299, China
DOI: 10.19734/j.issn.1001-3695.2019.10.0601

Abstract

The number of low-frequency sampling traffic trajectory data is growing explosively in big data era. Map matching techniques play an essential role in taxi pick-up hotspot and route recommendation, which can help accurately and efficiently matching low-frequency floating car data from complex road networks. In view of the aforementioned discussion, this paper proposed an improved algorithm based on curve fitting. This algorithm filled missing trajectory data and road network data by interpolation and mean methods, employed Geohash technology to store and search road network data and trajectory data, took into full consideration the factors of the speed of vehicles and road speed limit, used the backward vector of trajectory point and road segment vector to analyze the candidate road segments, and designed a comprehensive evaluation function to obtain the optimal matching results. The experimental results show that the proposed curve-fitting algorithm has a higher matching accuracy and faster time efficiency when compared with the traditional vertical projection and curve-fitting algorithms.

Foundation Support

四川省高校人文社会科学重点研究基地科研项目(JGYQ2018010)
国家自然科学基金资助项目(61802035,61772091,61962006)
四川省科技计划资助项目(2019YFS0067,21JCQN2019,2020YFG0153,20YYJC2785,2020YJ0481,2020YFS0466,2020YJ0430,2020JDR0164)
广西自然科学基金资助项目(2018GXNSFDA138005)
四川高校科研创新团队建设计划资助项目(18TD0027)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.10.0601
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 495-500
Serial Number: 1001-3695(2021)02-033-0495-06

Publish History

[2021-02-05] Printed Article

Cite This Article

黄振锋, 乔少杰, 韩楠, 等. 面向复杂路网低频GPS采样数据新型地图匹配算法 [J]. 计算机应用研究, 2021, 38 (2): 495-500. (Huang Zhenfeng, Qiao Shaojie, Han Nan, et al. Novel map-matching algorithm based on low-frequency GPS sampling data in complex road networks [J]. Application Research of Computers, 2021, 38 (2): 495-500. )

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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