Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 2
432-437

Algorithm for taxi ride-sharing scheduling based on probabilistic routing

Cai Wenguang
Liu Jiaxu
Zhang Xiaoxin
College of Software, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0248

Abstract

Aiming to address the issue that current ridesharing solutions mostly focus on serving online passenger requests and overlook offline ones, leading to underutilization of taxi resources, this paper proposed a probability-based routing ridesharing optimization algorithm that relied on mining historical travel trajectory data. This algorithm calculated a regional probability transition matrix from historical spatiotemporal data of passenger requests and utilized this matrix to optimize the recommended ridesharing routes for taxis. It presented a solution that integrated historical data with the ridesharing problem, effectively increasing the taxi's passenger capacity. By ensuring the offline passenger acceptance rate and online passenger tolerance, the algorithm employed a relaxed-time metric to predict and evaluate the passenger tolerance time for the entire path in O(n) time, and used the Dijkstra algorithm to plan routes through detour areas, minimizing the detour distance for taxis. This paper validated the effectiveness of the algorithm by using the real-world DiDi GAIA dataset. Experimental results demonstrate that the proposed algorithm outperforms the baseline algorithm by 12% in terms of the number of service requests served.

Foundation Support

辽宁省教育厅青年项目(LJ2019QL022)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0248
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Algorithm Research & Explore
Pages: 432-437
Serial Number: 1001-3695(2024)02-017-0432-06

Publish History

[2023-08-11] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

蔡文广, 刘佳旭, 张小欣. 基于概率路由的出租车共乘调度算法 [J]. 计算机应用研究, 2024, 41 (2): 432-437. (Cai Wenguang, Liu Jiaxu, Zhang Xiaoxin. Algorithm for taxi ride-sharing scheduling based on probabilistic routing [J]. Application Research of Computers, 2024, 41 (2): 432-437. )

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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