| 状态演化模式挖掘在交通流预测中的应用 |
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| 引用本文： | 颜镝,宋苏.状态演化模式挖掘在交通流预测中的应用[J].计算机应用,2005,25(3):649-651. |
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| 作者姓名： | 颜镝 宋苏 |
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| 作者单位： | 北京工业大学,电子信息与控制工程学院,北京,100022 |
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| 摘 要： | 在交通流诱导中，交通流量的预测是研究热点。为了提取交通流变化的特征规律，针对交通流的数据特点，采用了状态演化模式挖掘的框架对其进行挖掘，提出了一种交通流量模式和规则发现的方法，并且通过实验对这种方法进行了验证。
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| 关 键 词： | 状态演化模式挖掘 线性分段化 k中心点法 GSP |
| 文章编号： | 1001-9081(2005)03-0649-03 |
Application of state evolution patterns mining in traffic flow forecasting |
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| YAN Di,SONG Su.Application of state evolution patterns mining in traffic flow forecasting[J].journal of Computer Applications,2005,25(3):649-651. |
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| Authors: | YAN Di SONG Su |
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| Abstract: | The traffic flow forecasting is the hot spot in the research of the traffic flow guidance. In order to extract the characteristic law that the traffic flow changes, a framework of state evolution patterns mining was adopted aiming at the characteristics of the traffic flow data. A method of discovering traffic flow patterns and rules were presented and validated through experiments. |
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| Keywords: | state evolution patterns mining piecewise linearization k-center algorithm GSP |
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