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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 9
2665-2670

Decision-making algorithm for airport gate reassignment based on imitation learning

Xing Zhiwei1
Zhang Qianqian1
Luo Qian2
Chen Zhaoxin2
1. School of Electronic Information & Automation, Civil Aviation University of China, Tianjin 300300, China
2. Engineering Technology Research Center, The Second Research Institute of Civil Aviation Administration of China, Chengdu 610041, China
DOI: 10.19734/j.issn.1001-3695.2022.02.0071

Abstract

In order to solve the problem that the results of the gate reassignment algorithm can't meet habits of different operators, this paper proposed a method that accorded with the actual operators' operating habits. Firstly, this paper established the spatial model of decision-making environment by using flights characteristics and occupancy of gate resources. The model transformed manual operating data into a multi-channel time-space matrix. Then, it made use of CNN-based generative adversarial network to match the order decision-making operation strategy. The simulation results show that actions with reliability scores of more than 90% account for up to 84.4%. The model has a good ability to distinguish the operation data from 3 different operators. Compared with dynamic adjustment result under perturbance, this algorithm can obtain an adjustment scheme whose flight-gate attribute characteristics are closer to the original manual operation.

Foundation Support

国家重点研发计划资助项目(2018YFB1601200)
四川省青年科技创新研究团队专项计划资助项目(2019JDTD0001)
四川省科技计划资助项目(2021003)
成都市重点研发支撑计划资助项目(2019-YF08-00265-GX)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0071
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2665-2670
Serial Number: 1001-3695(2022)09-016-2665-06

Publish History

[2022-05-07] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

邢志伟, 张前前, 罗谦, 等. 基于模仿学习的机场停机位再分配决策算法 [J]. 计算机应用研究, 2022, 39 (9): 2665-2670. (Xing Zhiwei, Zhang Qianqian, Luo Qian, et al. Decision-making algorithm for airport gate reassignment based on imitation learning [J]. Application Research of Computers, 2022, 39 (9): 2665-2670. )

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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