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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 2
494-500

Spatial crowdsourcing task allocation algorithm for fine-grained emergency material distribution

Liu Junling1,2
Wu Qingqing1,2
Sun Huanliang1,2
Xu Jingke1,2,3
1. School of Computer Science & Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2. Liaoning Province Big Data Ma-nagement & Analysis Laboratory of Urban Construction, Shenyang 110168, China
3. Shenyang Branch of National Special Computer Enginee-ring Technology Research Center, Shenyang 110168, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0200

Abstract

The last-mile delivery of emergency supplies represents the final phase of the entire rescue operation and is crucial for enhancing the efficiency of the entire rescue effort. To address the fine-grained task allocation of emergency material distribution, this paper proposed a game-theoretic task allocation algorithm based on K-means clustering. This algorithm ensured that all tasks were assigned within a tolerable time while minimizing the number of workers. Then it designed a delay update optimization strategy to further improve the operational efficiency of the algorithm. Finally, conducting experiments on a real dataset, it demonstrates that the proposed algorithm reduces the number of workers by 38%, 28%, and 10% compared to the random task allocation algorithm, the greedy task allocation algorithm, and the K-means clustering task allocation algorithm, respectively. By integrating the delay update optimization strategy, a 12.5% increase in operational efficiency is achieved on top of the optimal allocation result, validating the effectiveness and practicality of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(62073227)
国家重点研发计划课题(2021YFF0306303)
辽宁省教育厅资助项目(JYTMS20231596,LJZ2021008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0200
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 2
Section: Algorithm Research & Explore
Pages: 494-500
Serial Number: 1001-3695(2025)02-023-0494-07

Publish History

[2025-02-05] Printed Article

Cite This Article

刘俊岭, 吴晴晴, 孙焕良, 等. 面向细粒度应急物资配送的空间众包任务分配算法 [J]. 计算机应用研究, 2025, 42 (2): 494-500. (Liu Junling, Wu Qingqing, Sun Huanliang, et al. Spatial crowdsourcing task allocation algorithm for fine-grained emergency material distribution [J]. Application Research of Computers, 2025, 42 (2): 494-500. )

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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