Multi-Agent Deep Reinforcement Learning Cooperative Control Model for Autonomous Vehicle Merging into Platoon in Highway

Multi-Agent Deep Reinforcement Learning Cooperative Control Model for Autonomous Vehicle Merging into Platoon in Highway

This study presents the first investigation into the problem of autonomous vehicle (AV) merging into existing platoons, proposing a multi-agent deep reinforcement learning (MA-DRL)-based cooperative control framework. The developed MA-DRL architecture enables coordinated learning among multiple auto...

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Bibliographic Details
Main Authors: Jiajia Chen, Bingqing Zhu, Mengyu Zhang, Xiang Ling, Xiaobo Ruan, Yifan Deng, Ning Guo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:World Electric Vehicle Journal
Subjects:
autonomous vehicle
platooning control
deep reinforcement learning
multi-agent systems
Online Access:https://www.mdpi.com/2032-6653/16/4/225
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