| 基于模糊回归的交通流量预测模型 |
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| 引用本文： | 戴红,郭盛威.基于模糊回归的交通流量预测模型[J].吉林工程技术师范学院学报,2011,27(6):77-80. |
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| 作者姓名： | 戴红 郭盛威 |
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| 作者单位： | 1. 吉林工程技术师范学院信息工程学院,吉林长春,130052
2. 中国建设银行股份有限公司吉林省分行,吉林长春,130022 |
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| 基金项目： | 吉林省教育厅“十一五”科学技术研究项目（2010363）. |
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| 摘 要： | 通过分析历史流量数据与上游路段的流量数据,建立基于模糊回归的交通流量预测模型。并通过长春市路段上的实际数据验证表明,各拟合的中心值和观测值的相对偏差平均在8%以内,论文建立的模糊回归对于单个路段预测的结果比较好,效果要优于简单的多元回归方法。表明此方法在实际应用中是切实可行的。
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| 关 键 词： | 交通流预测 模糊回归 先进的交通信息系统 |
A Traffic Volume Prediction Model Based on Fuzzy Regression |
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| DAI Hong,GUO Sheng-wei.A Traffic Volume Prediction Model Based on Fuzzy Regression[J].Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition),2011,27(6):77-80. |
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| Authors: | DAI Hong GUO Sheng-wei |
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| Institution: | 1. School of Information Engineering, Jilin Teachers Institute of Engineering and Technology, Changchun Jilin 130052, China; 2. Jilin Branch, China Construction Bank, Changchun Jilin 130022, China) |
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| Abstract: | Based on the analysis of data of historical flow and upstream section volume, a traffic volume prediction model based on fuzzy regression is put forward. Through the test in the urban road of Changchun city, we draw a conclusion that the relative deviation of each fit between central values and observed values is controlled within only 8%, and the prediction effect of fuzzy regression on single road section is better than simple multiple regression method. |
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| Keywords: | ：traffic volume prediction fuzzy regression advanced traffic information system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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