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An Attention Reinforcement Learning-Based Strategy for Large-Scale Adaptive Traffic Signal Control System
| 题名： | An Attention Reinforcement Learning-Based Strategy for Large-Scale Adaptive Traffic Signal Control System |
| 正文语种： | eng |
| 作者： | Gengyue Han;Xiaohan Liu;Hao Wang;Changyin Dong;Yu Han |
| 作者单位： | School of Transportation Southeast Univ. Nanjing 211189 PR China||Jiangsu Key Laboratory of Urban ITS Southeast Univ. Nanjing 210096 PR China||Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Southeast Univ. Na |
| 关键词： | Adaptive traffic signal control (ATSC); Large-scale traffic network; Deep reinforcement learning; Attention mechanism |
| 摘要： | This paper proposes a reinforcement learning (RL)-based traffic control strategy integrated with attention mechanism for large-scale adaptive traffic signal control (ATSC) system. The proposed attention RL integrates attention mechanism into a multiagent |
| 出版年： | 2024 |
| 期刊名称： | Journal of Transportation Engineering, Part A: Systems |
| 卷： | 150 |
| 期： | 3 |
| 页码： | 04024001.1-04024001.12 |
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