| 高速公路匝道回归神经网络控制器的设计 |
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| 引用本文： | 梁新荣,曾爱国.高速公路匝道回归神经网络控制器的设计[J].微计算机信息,2007,23(7):41-42. |
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| 作者姓名： | 梁新荣 曾爱国 |
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| 作者单位： | 1. 529020,广东江门,五邑大学信息学院;510640,广州,华南理工大学交通学院
2. 529020,广东江门,五邑大学信息学院 |
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| 基金项目： | 广东省自然科学基金资助项目(06300326) |
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| 摘 要： | 提出用回归神经网络进行入口匝道控制的思路。阐述了Elman回归神经网络原理与入口匝道控制原理,选取上、下游时间占有率和车速作为匝道控制器的输入量,并设计了Elman回归神经网络入口匝道控制器,采用一种改进的算法对回归神经网络进行训练。仿真实验表明,该控制器学习误差小,泛化能力好,具有良好的应用前景。
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| 关 键 词： | 交通工程 匝道控制 回归神经网络 匝道调节率 |
| 文章编号： | 1008-0570(2007)03-1-0041-02 |
| 修稿时间： | 2007年1月12日 |
Design of freeway ramp controller based on recurrent neural network |
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| LIANG XINRONG,ZENG AIGUO.Design of freeway ramp controller based on recurrent neural network[J].Control & Automation,2007,23(7):41-42. |
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| Authors: | LIANG XINRONG ZENG AIGUO |
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| Affiliation: | LIANG XINRONG ZENG AIGUO |
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| Abstract: | The idea of recurrent neural network is proposed for on-ramp control. The principles of Elman recurrent neural network and on-ramp control are formulated. Then the occupancy and speed measured in the upstream and downstream portion of a freeway are selected as input variables, and the on-ramp controller based on Elman recurrent neural network is designed. An improved algo-rithm is used to train the neural network. Simulation experiments show that this controller has such advantages as small learning error and good generalization ability. It is found to be potentially applicable in practice. |
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| Keywords: | traffic engineering ramp control recurrent neural network ramp metering rate |
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