| 基于小波分析和SOM网络的交通事件检测算法 |
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| 引用本文： | 郭艳玲,吴义虎,黄中祥.基于小波分析和SOM网络的交通事件检测算法[J].系统工程,2006,24(10):100-104. |
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| 作者姓名： | 郭艳玲 吴义虎 黄中祥 |
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| 作者单位： | 长沙理工大学,湖南,长沙,4100076 |
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| 基金项目： | 交通部交通应用基础研究基金;国家自然科学基金 |
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| 摘 要： | 本文提出一种结合小波分析和SOM（自组织特征映射）神经网络的交通事件检测算法。论文首先利用小波分析检测交通流初始信号的奇异性．然后将小波系数作为SOM网络的输入．对信号奇异点进行分类,再根据分类标准判断交通流状态，并运用Matlab进行了仿真分析。结果表明提出的交通事件检测算法利用较少样本数据即可快速实现交通事件检测，具有潜在的应用价值。
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| 关 键 词： | 小波分析 SOM神经网络 交通事件检测 |
| 文章编号： | 1001-4098（2006）10-0100-05 |
| 收稿时间： | 2006-06-26 |
| 修稿时间： | 2006-06-26 |
An Algorithm for Traffic Incidents Detection Based on Wavelet Analysis and SOM network |
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| GUO Yan-ling,WU Yi-hu,HUANG Zhong-xiang.An Algorithm for Traffic Incidents Detection Based on Wavelet Analysis and SOM network[J].Systems Engineering,2006,24(10):100-104. |
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| Authors: | GUO Yan-ling WU Yi-hu HUANG Zhong-xiang |
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| Institution: | Changsha University of Science and Technology,Changsha 410076,China |
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| Abstract: | This paper proposes an algorithm for traffic incidents detection based on wavelet analysis and SOM(Self-(organize) feature map) network.First Wavelet analysis is applied to find out the odd points of original traffic flow signals. The wavelet coefficient is referred as the input of SOM network and the network classifies the odd points.Then the traffic flow status is judged according to the class parameters.Finally we stimulate with Matlab and find out the algorithm can detect incidents fleetly and give a few samples.The algorithm has potential applied value. |
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| Keywords: | Wavelet Analysis SOM Network Traffic Incidents Detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
