A sharing deep reinforcement learning method for efficient vehicle platooning control

Author:

Lu Sikai1,Cai Yingfeng1ORCID,Chen Long1,Wang Hai23,Sun Xiaoqiang1,Jia Yunyi4

Affiliation:

1. Automotive Engineering Research Institute of Jiangsu University Zhenjiang China

2. School of Automotive and Traffic Engineering Jiangsu University Zhenjiang China

3. Zhenjiang City Jiangsu University Engineering Technology Research Institute Zhenjiang China

4. Department of Automotive Engineering at Clemson University International Center for Automotive Research (CU‐ICAR) Greenville SC USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review on reinforcement learning-based highway autonomous vehicle control;Green Energy and Intelligent Transportation;2024-08

2. DRL based platooning control with traffic signal synchronization for delay and fuel optimization;Transportation Research Part C: Emerging Technologies;2024-06

3. Multi-Agent Reinforcement Learning for Highway Platooning;Electronics;2023-12-11

4. Design and Research of Vehicle Platoon Formation Algorithm Based on Multi-Agent Reinforcement Learning;2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC);2023-11-03

5. Reinforcement Learning-Based Trajectory Planning and Tracking Control for Connected Vehicles Subject to Communication Delay;2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI);2023-10-27

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