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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 1
178-184

CTS: traffic lights multi-agent reinforcement learning organization scheme based on congestion trace source algorithm

Tian Chao
Zheng Jiaoling
School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0297

Abstract

Traffic lights play a vital role in the operation of the traffic network. However, with the rapid development of traffic, roads are becoming more and more complex, and vehicles are becoming more and more numerous, which leads to the increasing pressure of traffic lights scheduling, but the regulation ability is becoming weaker and weaker. In order to solve this problem, this paper established the convergence trace source(CTS) scheme. This scheme used the traffic light, the main object of traffic diversion, as an agent for reinforcement learning to optimize its ability to control traffic diversion. It comprehensively analyzed the congestion situation of the road network by constructing the congestion chain and congestion ring, and used the traffic light phase and its timing data to achieve the comprehensive judgment of the object state of the traffic light agent. This scheme designed the traffic light queue length algorithm, and used the digitization of congestion as an agent reward to evaluate the optimization effect. This paper used the SUMO simulation environment for experiments, designed and compared the average queue length at the intersection of the traffic optimization index. Finally, the average queue length at the intersection of this scheme is increased by 40% compared with the original data.

Foundation Support

四川省科技计划重点研发项目(2021YFQ0057)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0297
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Algorithm Research & Explore
Pages: 178-184
Serial Number: 1001-3695(2023)01-029-0178-07

Publish History

[2022-09-16] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

田超, 郑皎凌. CTS: 基于拥堵溯源算法的信号灯多智能体强化学习组织方案 [J]. 计算机应用研究, 2023, 40 (1): 178-184. (Tian Chao, Zheng Jiaoling. CTS: traffic lights multi-agent reinforcement learning organization scheme based on congestion trace source algorithm [J]. Application Research of Computers, 2023, 40 (1): 178-184. )

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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