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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2346-2350,2366

Dynamic matching algorithm for ridesplitting under low carbon target

Yu Tianxiang1
Li Wenxiang1
Zhang Yuliang2
Chen Hao3
Dong Jieshuang1
1. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Hangzhou City University, Hangzhou 310015, China
3. Wenzhou University of Technology, Wenzhou Zhejiang 325035, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0815

Abstract

In order to address the problem that the emission reduction benefits of ridesplitting are not fully utilized, this paper proposed a dynamic matching algorithm for ridesplitting under low carbon target. The proposed algorithm could optimize the emission reduction benefits of ridesplitting while ensuring its economic benefits. Firstly, it constructed a shareability network to the ridesplitting rules, then transformed the shareability network into a weighted undirected graph based on graph optimization theory, and calculated the carbon emission reduction of potential ridesplitting orders as the weights of the undirected graph based on the COPERT model, and finally solved it by using an improved maximum weight matching algorithm to obtain a ridesplitting matching scheme that maximized the carbon emission reduction benefit. This paper evaluated the proposed algorithm in comparison with the traditional matching algorithm, using the data of online ride-hailing orders in Chengdu as case study. The results show that when the passenger's acceptable delay is 10 minutes, the proportion of ridesplitting trips under the proposed algorithm is as high as 86%, and it can increase the total carbon emission reduction by 122% compared with the traditional matching algorithm. Further more, it can improve the carbon emission reduction efficiency of a single ridesplitting trip by 128%. Therefore, the proposed algorithm can significantly improve the ridesplitting emission reduction efficiency without affecting the economic benefits of the platform.

Foundation Support

国家自然科学基金资助项目(52002244)
上海市晨光计划资助项目(20CG55)
上海市科技创新行动计划资助项目(22dz1207500)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0815
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2346-2350,2366
Serial Number: 1001-3695(2023)08-016-2346-05

Publish History

[2023-03-13] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

于天翔, 李文翔, 张玉梁, 等. 低碳导向的网约车合乘动态匹配算法研究 [J]. 计算机应用研究, 2023, 40 (8): 2346-2350,2366. (Yu Tianxiang, Li Wenxiang, Zhang Yuliang, et al. Dynamic matching algorithm for ridesplitting under low carbon target [J]. Application Research of Computers, 2023, 40 (8): 2346-2350,2366. )

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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