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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 6
1618-1627

Review of reinforcement learning and deep reinforcement learning methods in large-scale intelligent traffic signal control

Zhai Ziyang
Hao Ruru
Dong Shihao
School of Information Engineering, Chang'an University, Xi'an 710064, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0419

Abstract

At present, it is a general trend to introduce intelligent detection and control into traffic signal control system, especially reinforcement learning and deep reinforcement learning methods show great technical advantages in scalability, stability and extensibility, and have become a research hotspot in this field. This paper studied traffic signal control tasks based on reinforcement learning, systematically sorted out the classification and application of reinforcement learning and deep reinforcement learning in the field of intelligent traffic signal control on the basis of extensive research results on traffic signal control methods, and summarized feasible solutions to large-scale traffic signal control problems by using multi-agent cooperation. This paper classified and summarized the factors affecting the traffic scene of large-scale traffic signal control, put forward the current challenges and potential research directions in this field from the perspective of improving the performance of traffic signal controllers.

Foundation Support

国家重点研发计划资助项目(2021YFA1000300,2021YFA1000303)
国家青年基金资助项目(202006565013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0419
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 6
Section: Survey
Pages: 1618-1627
Serial Number: 1001-3695(2024)06-003-1618-10

Publish History

[2024-01-26] Accepted Paper
[2024-06-05] Printed Article

Cite This Article

翟子洋, 郝茹茹, 董世浩. 大规模智慧交通信号控制中的强化学习和深度强化学习方法综述 [J]. 计算机应用研究, 2024, 41 (6): 1618-1627. (Zhai Ziyang, Hao Ruru, Dong Shihao. Review of reinforcement learning and deep reinforcement learning methods in large-scale intelligent traffic signal control [J]. Application Research of Computers, 2024, 41 (6): 1618-1627. )

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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