| 基于支持向量机的短时交通流预测方法 |
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| 引用本文： | 杨怡. 基于支持向量机的短时交通流预测方法[J]. 交通标准化, 2009, 0(11): 97-100 |
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| 作者姓名： | 杨怡 |
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| 作者单位： | 河北省邯郸市交通局．河北邯郸056002 |
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| 摘 要： | 在介绍智能交通系统的特点和相关技术的基础上，SVR算法被用来处理短时交通量预测问题。实验证明，支持向量机在交通系统中的应用具有可行性、有效性和广阔的前景。
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| 关 键 词： | 支持向量机 多类别分类算法 支持向量回归 智能交通系统 |
Short-time Traffic Forecast Based on Support Vector Machine |
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| YANG Yi. Short-time Traffic Forecast Based on Support Vector Machine[J]. Communications Standardization, 2009, 0(11): 97-100 |
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| Authors: | YANG Yi |
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| Affiliation: | Hebei Provincial Handan Traffic Bureau;Handan 056002;China |
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| Abstract: | Based on the characteristics and correlative technologies of intelligent transport system, SVR arithmetic is used to dispose the short-time traffic forecast. The experiment proves that the application of support vector machines in traffic system is of feasibility, validity and wide foreground. |
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| Keywords: | support vector machine multi-category sort algorithm support vector regression intelligent transport system |
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