Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 6
1714-1721

Double-layer scheduling model for carpooling service considering dynamic order-updating

Li Jilin1
Yuan Pengcheng1
Lin Xuxun2
Hu Kai1
1. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Business School, Changzhou University, Changzhou Jiangsu 213164, China
DOI: 10.19734/j.issn.1001-3695.2023.09.0438

Abstract

To effectively address the real-time updates of passenger demand orders on online carpooling platforms, this paper proposed an algorithm for continuously assigning orders to drivers with unfinished orders. The proposed algorithm ensured an increase in driver earnings while enhancing the dispatch efficiency of the carpooling platform. Specifically, this paper developed a double-layer scheduling model which maximized the total driver revenue on the basis of the service quality and operational costs of the carpooling system, and proposed a double-layer algorithm for this model. The bottom layer involved the construction of a model for the carpooling routing problem, which was solved by using an improved genetic algorithm. The upper layer determined the order of task assignments, which adopted the greedy algorithm to call the model in the botton layer and compared revenue changes to obtain the final scheduling result. The model demonstrated its effectiveness and feasibility through a specific example, validating the prompt determination of order matching results and travel routes. The calculated results faithfully reflect real-world scenarios. Comparative experiments shows that the model not only achieves the goal of increasing driver earnings, but also effectively reduces delay time and travel distances. This has positive reference significance for related studies on carpooling scheduling problems in the context of real-time order updates.

Foundation Support

国家自然科学基金资助项目(71601118)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0438
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 6
Section: Algorithm Research & Explore
Pages: 1714-1721
Serial Number: 1001-3695(2024)06-016-1714-08

Publish History

[2023-12-19] Accepted Paper
[2024-06-05] Printed Article

Cite This Article

李佶霖, 袁鹏程, 林徐勋, 等. 考虑实时订单更新的拼车调度双层规划模型 [J]. 计算机应用研究, 2024, 41 (6): 1714-1721. (Li Jilin, Yuan Pengcheng, Lin Xuxun, et al. Double-layer scheduling model for carpooling service considering dynamic order-updating [J]. Application Research of Computers, 2024, 41 (6): 1714-1721. )

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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