| 基于数学模型的短时交通流预测方法探讨 |
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| 引用本文： | 贺国光,李宇,马寿峰.基于数学模型的短时交通流预测方法探讨[J].系统工程理论与实践,2000,20(12):51-56. |
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| 作者姓名： | 贺国光 李宇 马寿峰 |
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| 作者单位： | 天津大学管理学院 |
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| 摘 要： | 在概述交通流预测方法发展的基础上 ,重点介绍了三种基于确定的数学模型的短时交通流量预测方法 ,并针对其中一种模型提出了与神经网络相结合的改进方案.
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| 关 键 词： | 短时交通流预测 自适应权重 神经网络 |
| 修稿时间： | 1999-05-04 |
Discussion on Short-Term Traffic Flow Forecasting Methods Based on Mathematical Models |
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| HE Guo-guang,LI Yu,MA Shou-feng.Discussion on Short-Term Traffic Flow Forecasting Methods Based on Mathematical Models[J].Systems Engineering —Theory & Practice,2000,20(12):51-56. |
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| Authors: | HE Guo-guang LI Yu MA Shou-feng |
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| Institution: | School of Management,Tianjin University |
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| Abstract: | In this paper, the evolution of traffic flow forecasting methods is summarized firstly, three short-term traffic flow forecasting methods based upon concrete mathematical models are introduced emphatically. At the last, an improving approach associated neural network for one of them is presented. |
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| Keywords: | short-term traffic flow forecasting adaptive weighting neural network |
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