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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
102-106

Research on paired shared parking for commuter groups driven by data

He Mengyuan
Liu Zhengxi
Xiong Yunyu
Li Zheng
School of Computer, Sichuan University, Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0503

Abstract

With the increase in the number of motor vehicles, parking has become a common problem in cities. When many people take a long time to line up for a parking space at the workplaces, there are many parking spaces are available in the residential area that around the workplaces, which cause the use of parking space ineffectively. However, the existing shared parking methods are difficult to implement because of its randomness. In order to reduce its randomness, the difficulty of implementing shared parking, and the waste of parking space resources, based on the complementarity of travel times between commuter groups in residential areas and office buildings where around the residential areas, this paper presented a data-driven one-to-one pairing shared solution. To solve this problem, it analyzed the entry and exit record data of vehicles, then obtained the characteristics of the idle duration of the parking space in the residential area and the duration of use of the office building, finally got the results of matching parking spaces and vehicles according to the matching method of maximizing the duration. In the experiment for selected area, the proportion of fully matched parking spaces was 37.66%, and the average utilization rate of all matching parking spaces increased by 15.24%, and the maximum increase was 57.84%. The result shows that paired shared parking method is extremely feasible.

Foundation Support

国家自然科学基金资助项目(61471250)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0503
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 102-106
Serial Number: 1001-3695(2020)01-021-0102-05

Publish History

[2020-01-05] Printed Article

Cite This Article

何梦园, 刘正熙, 熊运余, 等. 数据驱动的通勤团体配对共享停车方法研究 [J]. 计算机应用研究, 2020, 37 (1): 102-106. (He Mengyuan, Liu Zhengxi, Xiong Yunyu, et al. Research on paired shared parking for commuter groups driven by data [J]. Application Research of Computers, 2020, 37 (1): 102-106. )

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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