App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 3

Adaptive cooperative decision-making method for unsignalized intersection left-turn scenarios

Ning Mi1
Zhang Weiwei2,3
Zhang Xuechao1
Liang Fengjun1
Wang Yujiang1
1. School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Guangxi, Liuzhou 545616, China
2. College of Automotive Studies, Tongji University, Shanghai 201804, China
3. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
DOI: 10.19734/j.issn.1001-3695.2025.08.0272

Abstract

An improved decision-making method named MSPSO-TD3 was proposed to enhance the precision and safety of left-turn decisions at complex unsignalized urban intersections. This approach integrated multi-strategy particle swarm optimization (MSPSO) with the TD3 algorithm. First, an MSPSO module was introduced to improve global exploration efficiency. It utilizes a dynamic parameter network and a multi-subgroup parallel search mechanism to provide high-quality candidate actions for TD3. Second, a dual-critic network was employed during the decision fusion stage to jointly evaluate candidate actions and select the optimal one. MSPSO regularization was also applied to enhance the global optimality of the policy. In CARLA simulation experiments, the proposed method achieved an 80% success rate in high-density traffic scenarios. It reduced the average passage time to 5.37 s and decreased the average acceleration to 2.24 m/s². The MSPSO-TD3 method demonstrates significant improvements in traffic efficiency, safety, and comfort, showing strong decision-making optimization capabilities in complex scenarios.

Foundation Support

广西重点研发计划资助项目(桂科AB24010200)
广西科技重大专项资助项目(桂科AA24206036)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.08.0272
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 3

Publish History

[2025-11-18] Accepted Paper

Cite This Article

宁咪, 张伟伟, 张学朝, 等. 无信号灯交叉口左转场景的自适应协同决策优化方法 [J]. 计算机应用研究, 2026, 43 (3). (2025-11-18). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0272. (Ning Mi, Zhang Weiwei, Zhang Xuechao, et al. Adaptive cooperative decision-making method for unsignalized intersection left-turn scenarios [J]. Application Research of Computers, 2026, 43 (3). (2025-11-18). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0272. )

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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