Algorithm Research & Explore
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2311-2315

State prediction based deep reinforcement learning for traffic signal control

Tang Muyao
Zhou Dake
Li Tao
School of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211100, China

Abstract

Urban traffic signal control can widely use deep reinforcement learning technique. However, in existing researches, most DRL agents only use the current traffic state to make decisions and have limited control effects when the traffic flow changes greatly. Aiming at the problem, this paper proposed a state prediction based deep reinforcement learning algorithm for traffic signal control. The algorithm used one-hot coding to design a concise and efficient traffic state, and then used a long short-term memory to predict the future state. The agent made optimal decisions based on the current state and the predicted state. The experimental results on the simulation platform SUMO show that compared with three typical signal control algorithms, the proposed algorithm has the best performance in terms of average waiting time, travel time, fuel consumption, CO2 emissions and cumulative reward both in a single intersection and multiple intersections under different flow conditions.

Foundation Support

国家自然科学基金资助项目(62073164)
南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj20200313)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0704
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2311-2315
Serial Number: 1001-3695(2022)08-012-2311-05

Publish History

[2022-03-30] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

唐慕尧, 周大可, 李涛. 结合状态预测的深度强化学习交通信号控制 [J]. 计算机应用研究, 2022, 39 (8): 2311-2315. (Tang Muyao, Zhou Dake, Li Tao. State prediction based deep reinforcement learning for traffic signal control [J]. Application Research of Computers, 2022, 39 (8): 2311-2315. )

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.

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