Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3351-3357

Multi-objective optimal ridesplitting scheduling model considering risk of epidemic spread

Yuan Pengcheng1
Lin Xuxun2
Han Yin1
1. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Business School of Changzhou University, Changzhou Jiangsu 213164, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0172

Abstract

Under the background of COVID-19 epidemic, the traditional ridesplitting scheduling mode is facing the potential risk of cross infection, which brings insecurity to travellers. In order to solve this contradiction, this paper firstly analyzed the matching constraints among travellers under the background of the epidemic, proposed a ridesplitting strategy to separate low-risk and potential risk passengers. Considering the social benefits and service quality of the platform under the COVID-19, this paper developed a dual objective ridesplitting emergency management optimization scheduling model which minimized the waiting time on the basis of rated profit, and proposed a combined simulated annealing algorithm for this model. The effectiveness of the model and algorithm was verified by a specific example. The results show that the model can converge to a stable value, and the calculation results can truly reflect the actual scene, which shows the effectiveness of the model and algorithm. Finally, through a simulation experiment, this paper analyzed the role of the model in virus transmission. The results show that the model can effectively inhibit the virus transmission speed caused by ridesplitting.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0172
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Algorithm Research & Explore
Pages: 3351-3357
Serial Number: 1001-3695(2022)11-024-3351-07

Publish History

[2022-06-20] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

袁鹏程, 林徐勋, 韩印. 考虑疫情扩散传播风险的多目标拼车应急管理优化调度模型 [J]. 计算机应用研究, 2022, 39 (11): 3351-3357. (Yuan Pengcheng, Lin Xuxun, Han Yin. Multi-objective optimal ridesplitting scheduling model considering risk of epidemic spread [J]. Application Research of Computers, 2022, 39 (11): 3351-3357. )

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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