| 基于强化学习的城市交通区域协调控制研究 |
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| 引用本文： | 卞凯.基于强化学习的城市交通区域协调控制研究[J].电子技术,2011,38(8):1-3. |
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| 作者姓名： | 卞凯 |
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| 作者单位： | 中国科学技术大学信息科学技术学院 |
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| 摘 要： | 交通控制系统是一个复杂的巨系统,传统的建模和控制方式难以获得较好的控制效果.文章针对区域协调控制中难以建立精确数学模型的特点,引入了强化学习,提出了基于强化学习的无模型区域协调控制算法.采用微观交通仿真软件对算法进行了仿真实验,与Webster定时控制进行对比,实验结果表明:强化学习算法取得较好的效果.
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| 关 键 词： | 交通控制 区域协调控制 强化学习 |
Study of Dynamic Area Coordination Control of Urban Traffic Based on Reinforcement Learning |
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| Bian Kai.Study of Dynamic Area Coordination Control of Urban Traffic Based on Reinforcement Learning[J].Electronic Technology,2011,38(8):1-3. |
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| Authors: | Bian Kai |
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| Affiliation: | Bian Kai(School of Information Science and Technology,University of Science and Technology of China) |
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| Abstract: | Traffic control system is a complex giant-system,and traditional modeling and control mode are difficult to obtain better control effect.Aiming at the feature that it is difficult to establish accurate mathematical model in are coordination control,we propose an urban area coordination control algorithm based on Q-learning.The proposed algorithm is validated with microscopic traffic simulation software,and compared with Webster timing control.The experimental results demonstrate this enforcement learning al... |
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| Keywords: | traffic control area coordination control reinforcement learning |
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