App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 7

Intersection decision model based on ga-td3 algorithm

Jiang Anni1a,2
Du Yu1b,2
Yuan Ying1b,2
Zhang Hao1b,2
Zhao Shixin1b,2
1. a. College of Smart City, b. College of Robotics, Beijing Union University, Beijing 100101, China
2. Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0570

Abstract

Addressing problems such as low success rates, instability, and inefficient traffic flow in autonomous decision-making models at intersections, this study proposes enhancements to the TD3 algorithm through the GA-TD3 (GRU Attention Twin Delayed Deep Deterministic Policy Gradient) algorithm. Firstly, introduce a memory module which using GRU neural network to improve the success rate of the decision model. Secondly, introducing a social attention mechanism in the state space to focus on interactions with social vehicles. This mechanism ensures the stability of the model while improving the traffic efficiency of vehicles. After 20, 000 rounds of training in the CARLA simulator, the TD3 algorithm achieves a success rate of 92.4%, while the success rate of the GA-TD3 algorithm is 97.6%. Additionally, the vehicle's travel time is shortened by 3.36 seconds. GA-TD3 algorithm improves both learning efficiency and traffic efficiency, which can alleviate traffic pressure in urban scenes and improve driving efficiency.

Foundation Support

国家自然科学基金(面上)项目(52072213)
北京市教育委员会科研计划资助项目(KM202311417006)
北京市朝阳区科技局项目(纵20200028)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0570
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 7

Publish History

[2024-01-30] Accepted Paper

Cite This Article

江安旎, 杜煜, 原颖, 等. 基于GA-TD3算法的交叉路口决策模型 [J]. 计算机应用研究, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0570. (Jiang Anni, Du Yu, Yuan Ying, et al. Intersection decision model based on ga-td3 algorithm [J]. Application Research of Computers, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0570. )

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  • Application Research of Computers Monthly Journal
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    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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