Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 6
1830-1834

Traffic congestion detection method based on IoV and fuzzy logic

Wang Runmin
Liu Dingbei
Hu Jinchao
Zhu Yu
Xu Zhigang
Joint Laboratory for Internet of Vehicles for Ministry of Education-China Mobile Communications Corporation, Chang'an University, Xi'an 710064, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0894

Abstract

Because of the drawback of existing method, the paper proposed a traffic congestion detection method based on Internet of Vehicles and fuzzy logic. Firstly, this method constructed a neighbor table of vehicle based on the obtained real-time information of neighbor vehicles. Secondly, it created a fuzzy controller according to the speed, traffic density and traffic congestion rating system, and evaluated the local traffic congestion level. Thirdly, it realized the inquiry of traffic congestion status of neighbor vehicles based on real-time communication between neighbor vehicles, and verified the local traffic congestion level based on large sub-sample hypothesis test, then completed the detection of regional traffic congestion level. Finally, it built a simulated test scenario based on Veins platform, then it compared the accuracy of detecting traffic congestion, and calculated the backoff slots and received broadcast packets of vehicle nodes in the simulated test scenario. The results show that the accuracy of traffic congestion detection of the proposed method is increased by 5.5% and 7.5% compared with "no trigger" method and CoTEC method, respectively. The proposed method reduces the network congestion of vehicle communication by 90.8% compared with CoTEC method, and the communication load of communication nodes significantly decreases when there is no traffic congestion.

Foundation Support

国家重点研发计划资助项目(2018YFB0105104)
陕西省重点研发计划资助项目(2018ZDCXL-GY-05-02)
国家教育部联合实验室建设项目(教技司(2016)477号)
中央高校基本科研业务费资助项目(300102248105)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0894
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Technology of Network & Communication
Pages: 1830-1834
Serial Number: 1001-3695(2020)06-046-1830-05

Publish History

[2020-06-05] Printed Article

Cite This Article

王润民, 刘丁贝, 胡锦超, 等. 车联网环境下基于模糊逻辑的交通拥堵检测方法 [J]. 计算机应用研究, 2020, 37 (6): 1830-1834. (Wang Runmin, Liu Dingbei, Hu Jinchao, et al. Traffic congestion detection method based on IoV and fuzzy logic [J]. Application Research of Computers, 2020, 37 (6): 1830-1834. )

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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