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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2407-2411

Research and empirical study on fast filtering strategy in taxi trip-sharing matching

Teng Zhaoyang
Sui Yi
College of Computer Science & Technology, Qingdao University, Qingdao Shandong 266071, China
DOI: 10.19734/j.issn.1001-3695.2020.11.0406

Abstract

Taxi trip-sharing is of great significance to improve the overall traffic efficiency of the city. The calculation of the matching possibility between any two taxi trips in a given time range is large, so it is difficult to meet the application needs of the whole urban space. This paper proposed a fast filtering strategy based on time, distance and direction constraints. It applied the strategy to the trip-sharing matching method which was based on graph. The results verified by the New York city taxi data set, show that the proposed filtering strategy can greatly reduce the matching time without affecting the effect of trip-sharing(the matching time of a single trip is reduced by about 82%). Based on the GPS trajectory data of 8 531 taxis in Qingdao on March 15th(Wednesday) and March 18th(Saturday) during 2017, this paper made an empirical analysis. It shows that when the delay threshold is set at 5 min, the number of shared trips in the city on workdays can reach 45% of the total trips, the total travel time can be saved close to 5 000 hours, and the total distance can be saved 80 000 km. The results of Saturday and Wednesday are very close. The number of trips during the morning rush hour from 6: 00 to 9: 00 is relatively small and the spatial distribution is relatively scattered. Therefore, the proportion of shared trips, the total saved time and saved distance are the least compared to other period. The benefit of trip-sharing during this period is the smallest.

Foundation Support

国家自然科学青年基金资助项目(41706198)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0406
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2407-2411
Serial Number: 1001-3695(2021)08-029-2407-05

Publish History

[2021-08-05] Printed Article

Cite This Article

滕兆阳, 隋毅. 出租车共享出行匹配中快速筛选策略的研究与实证 [J]. 计算机应用研究, 2021, 38 (8): 2407-2411. (Teng Zhaoyang, Sui Yi. Research and empirical study on fast filtering strategy in taxi trip-sharing matching [J]. Application Research of Computers, 2021, 38 (8): 2407-2411. )

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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