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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
1034-1043

Multi-strategy ride-hailing dispatching algorithm based on spatio-temporal prediction

Guo Yuhan
Qian Yiyang
Qian Yaguan
School of Science, Zhejiang University of Science & Technology, Hangzhou 310012, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0339

Abstract

Accurately predicting ride-hailing order demand and implementing efficient vehicle scheduling strategies are critical for improving operational efficiency, reducing costs, and ensuring service quality. Existing studies often focus on single-dimensional analysis in model construction, and scheduling algorithms exhibit limited efficiency and solution space exploration. To address these issues, this paper developed a spatiotemporal graph convolutional prediction model to integrate attention mechanisms, enabling deep exploration and utilization of spatiotemporal information to capture latent features affecting order demand. Additionally, it designed a multi-strategy solution search algorithm to employ diverse search strategies based on a cost matrix generated by the A* algorithm. This approach enhanced the algorithm's convergence and solution quality in complex scenarios. Experimental results on large-scale real-world ride-hailing datasets demonstrate that the proposed prediction model achieves an average improvement of 1.87% in MAE and 1.92% in RMSE compared to baseline models. The multi-strategy solution search algorithm outperforms comparison algorithms, achieving average improvements of 13.88% in the number of feasible solutions, 32.48% in hypervolume, and 17.61% in spacing. Furthermore, the algorithm's computational efficiency is enhanced by an average of 21.13%.

Foundation Support

国家自然科学基金资助项目(12271484)
浙江省自然科学基金重点项目(LZ22F020007)
浙江省教育厅科研项目(Y202454572)
浙江科技大学教学研究与改革重点项目(2024-JG13)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0339
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Algorithm Research & Explore
Pages: 1034-1043
Serial Number: 1001-3695(2025)04-009-1034-10

Publish History

[2025-04-05] Printed Article

Cite This Article

郭羽含, 钱一炀, 钱亚冠. 基于时空预测的多策略网约车调度算法 [J]. 计算机应用研究, 2025, 42 (4): 1034-1043. (Guo Yuhan, Qian Yiyang, Qian Yaguan. Multi-strategy ride-hailing dispatching algorithm based on spatio-temporal prediction [J]. Application Research of Computers, 2025, 42 (4): 1034-1043. )

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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