Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2721-2725,2731

Shared parking supply-demand matching model and designed tabu search algorithm based on autonomous valet parking

He Shengxue
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0016

Abstract

In order to reduce the number and total distance of changing parking spaces in a parking lot or a given parking area through autonomous valet parking(AVP), in doing so to lower the related cost and the potential accident risk, this paper formulated a vehicle-slot matching optimization model which satisfied the shared parking requirement. In view of the feature of autonomous vehicle freely translocating during parking, this paper defined the match, match slice and match map corresponding to decision variable and feasible solution by subdividing the shared parking demand and supply in time. By conception replacement, the paper changed the searching effective neighbor of match map into the classic assignment problem and solved it with Hungarian algorithm. In view of the NP-hard feature of the matching model, this paper proposed a designed tabu searching algorithm. Numerical analysis not only verified the rationality of this model and the effectiveness of the algorithm, but also proved that the model and algorithm could deal with the shared parking of conventional vehicles. The results show that AVP can improve the utility of shared parking berths and increase the number of served vehicles.

Foundation Support

国家自然科学基金资助项目(71801153,71871144)
上海市自然科学基金项目(18ZR1426200)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0016
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2721-2725,2731
Serial Number: 1001-3695(2021)09-029-2721-05

Publish History

[2021-09-05] Printed Article

Cite This Article

何胜学. 自动代客泊车背景下的共享停车供需匹配模型及对应禁忌搜索算法 [J]. 计算机应用研究, 2021, 38 (9): 2721-2725,2731. (He Shengxue. Shared parking supply-demand matching model and designed tabu search algorithm based on autonomous valet parking [J]. Application Research of Computers, 2021, 38 (9): 2721-2725,2731. )

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  • 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.

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