| 基于加权一阶局域法的短时交通流量预测的研究 |
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| 引用本文： | 蒋海峰,魏学业,张屹.基于加权一阶局域法的短时交通流量预测的研究[J].ITS通讯,2006,8(2):31-33. |
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| 作者姓名： | 蒋海峰 魏学业 张屹 |
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| 作者单位： | 北京交通大学电子信息工程学院，北京交通大学电子信息工程学院，北京交通大学电子信息工程学院 北京 100044，北京 100044，北京 100044 |
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| 摘 要： | 本文在分析了城市短时交通流时间序列和混沌特点基础上,通过对混沌时间序列预测方法的研究,提出了一种基于加权一阶局域法的短时交通流量预测方法。该方法引进了权值,使得它比全域法具有更好的自适应能力和较高的预测精度。对实际短时交通流量进行预测,取得了令人满意结果。
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| 关 键 词： | 短时交通流 加权一阶局域法 混沌时间序列 预测 |
Study on Short-term Traffic Flow Forecasting based on Adding-weight One-rank Localregion Method |
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| Authors: | Jiang Haifeng Wei Xueye Zhang Yi |
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| Institution: | School of electronic and information engineering, Beijing Jiaotong University, 100044 |
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| Abstract: | On the basis of analysis of urban short-term traffic flow time series and the characteristic of chaos,this paper proposes a short-term traffic flow forecasting method through study on chaotic time series forecasting methods,which is based on adding-weight one-rank local-region (AWORLR).Weights are introduced and they make this method more adaptive and precise than whole-region methods.The forecasting result of actual short-time traffic flow is satisfying. |
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| Keywords: | Short-term Traffic Flow Adding-weight One-rank Local-region Chaotic Time Series Forecast |
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