Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 12
3620-3625

Research on optimization of dynamic collection and transportation route of garbage classification based on intelligent garbage cans

Yan Fang1
Deng Deping1
Chai Fuliang2
1. School of Economics & Management, Chongqing Jiaotong University, Chongqing 400074, China
2. Chongqing Environment & Sanitation Group Co, Ltd. , Chongqing 401120, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0239

Abstract

In order to solve the problem of secondary environmental pollution and uncertainty of waste generation in the process of urban domestic waste sorting and transportation, this paper proposed a dynamic vehicle collection and transportation route optimization method based on intelligent garbage cans. Taking the minimum of carbon emission cost, fuel consumption cost, fixed cost and vehicle late arrival penalty cost as the optimization objective, this paper established dynamic vehicle routing optimization model. The dynamic vehicle route optimization method transformed the dynamic problem into a series of static problems by means of rolling time domain, and designed a two-stage algorithm to solve the model. Firstly, this method used particle swarm algorithm to plan the path of the collection and transportation vehicles, and then at the end of each time domain, comprehensively considered the location of newly added garbage cans and the amount of garbage, the location and loading of vehicles to dynamically adjust existing vehicle routes. The research results show that, compared with the traditional static collection and transportation scheme, the dynamic garbage collection and transportation scheme can significantly reduce the risk of secondary environmental pollution caused by untimely removal and transportation while reducing vehicle transportation costs and carbon emission costs.

Foundation Support

教育部人文社科一般项目(19YJC630198)
中国博士后面上项目(2019M653345)
重庆交通大学研究生科研创新项目(2022S0064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0239
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Algorithm Research & Explore
Pages: 3620-3625
Serial Number: 1001-3695(2022)12-014-3620-06

Publish History

[2022-07-25] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

闫芳, 邓德萍, 柴福良. 基于智能垃圾桶的垃圾分类动态收运路径优化问题研究 [J]. 计算机应用研究, 2022, 39 (12): 3620-3625. (Yan Fang, Deng Deping, Chai Fuliang. Research on optimization of dynamic collection and transportation route of garbage classification based on intelligent garbage cans [J]. Application Research of Computers, 2022, 39 (12): 3620-3625. )

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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