| 基于自适应神经模糊推理的交通状态判别方法 |
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| 引用本文： | 陈力,胡刚.基于自适应神经模糊推理的交通状态判别方法[J].西部交通科技,2010(5):98-102. |
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| 作者姓名： | 陈力 胡刚 |
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| 作者单位： | 广东工业大学自动化学院,广东,广州,510006 |
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| 摘 要： | 文章针对交通状态具有模糊性和主观性的特点,建立能够真实反映人对交通拥塞程度感觉的自适应-神经模糊推理系统,使具有变化连续的交通流参数模糊化处理,实现了道路交通状态的准确、快速辨别。
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| 关 键 词： | 交通拥塞 减法聚类 交通状态判别 自适应-神经模糊推理系统 |
The Traffic State Identification Method Based on Adaptive Neuro-Fuzzy Inference |
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| CHEN Li,HU Gang.The Traffic State Identification Method Based on Adaptive Neuro-Fuzzy Inference[J].Western China Communication Science & Technology,2010(5):98-102. |
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| Authors: | CHEN Li HU Gang |
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| Institution: | (Department of Automation,Guangdong Industrial University,Guangzhou,Guangdong,510006) |
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| Abstract: | Targeting at the fuzziness and subjectivity of traffic status,the article establishes adaptive-Neuro-Fuzzy inference system that can reflect realistic sense of congestion.The system is capable of analyzing continuous random traffic data,which creates accurate and instant feedback of traffic conditions. |
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| Keywords: | Traffic congestion Subtractive Clustering Traffic state identification Adaptive Neuro-Fuzzy Inference System（ANFIS） |
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