In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
379-384

Map matching method for complex road sections via difference and subsequent points

Wang Xiaohana,b
He Zengyua,b
Hu Wangwua,b
Wang Peia,b
Yang Longa,b
a. School of Computer & Information, b. Anhui Key Laboratory of Network & Information Security, Anhui Normal University, Wuhu Anhui 241002, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0263

Abstract

Map matching is important in navigation, traffic analysis and other applications. In the complex road network environment of parallel and cross sections, it is easy to match the adjacent sections or some inaccessible sections, which leads to the wrong matching. The proposed linear regression model was more accurate to describe the change of road shape at the tur-ning. According to the difference between the road section direction and the moving direction of the moving object, it judged the parallel or intersecting road sections. By referring to the matching of multiple subsequent points, the map matching at complex sections could be realized, which could reduce the matching error. In addition, the proposed road network completion method based on simplified clustering could solve the problem that the missing candidate road sections around some GPS points could not be matched. And it used quad-tree structure to index map data to improve the efficiency. The results of comparative experiment show that when the number of trajectory points is small, compared with the existing probabilistic matching method based on hidden Markov model, the time is reduced by 62%, which is more suitable for the application scenarios with high timeliness requirements. Compared with the traditional geometric matching method, the matching accuracy is improved by 3%, and it is more suitable for complex road matching.

Foundation Support

国家自然科学基金资助项目(61972439)
安徽省自然科学基金资助项目(2008085MF212)
安徽高校自然科学研究项目(KJ2019A0481)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0263
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Algorithm Research & Explore
Pages: 379-384
Serial Number: 1001-3695(2022)02-009-0379-06

Publish History

[2021-09-18] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

汪小寒, 何增宇, 胡王悟, 等. 复杂路段的角度差和后续点地图匹配方法 [J]. 计算机应用研究, 2022, 39 (2): 379-384. (Wang Xiaohan, He Zengyu, Hu Wangwu, et al. Map matching method for complex road sections via difference and subsequent points [J]. Application Research of Computers, 2022, 39 (2): 379-384. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)