| 一种基于周相似特性的实时交通量预测模型 |
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| 引用本文： | 胡佩锋,袁振洲.一种基于周相似特性的实时交通量预测模型[J].公路交通技术,2007(1):145-149. |
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| 作者姓名： | 胡佩锋 袁振洲 |
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| 作者单位： | 北京交通大学交通工程系,北京,100044 |
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| 摘 要： | 针对城市道路交通流量的周相似特性,对实时采集的流量与历史流量进行对比分析,利用均方根误差法确定权重,采用指数平滑方法对权重进行修正,提出一种实时交通量预测模型,并给出利用该模型预测的实例。利用最小二乘法对该预测进行了改进,进一步扩大和提高了模型的应用范围和实用性。
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| 关 键 词： | 周相似性 交通流量 实时动态 预测 |
| 文章编号： | 23946538 |
| 修稿时间： | 06 7 2006 12:00AM |
Real Time Traffic Flow Prediction Model Based on Weekly Similarity |
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| Hu Peifeng,Yuan Zhenzhou.Real Time Traffic Flow Prediction Model Based on Weekly Similarity[J].Technology of Highway and Transport,2007(1):145-149. |
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| Authors: | Hu Peifeng Yuan Zhenzhou |
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| Abstract: | Targeting at the weekly similarity of urban road traffic flow,This paper makes comparison analysis to real time collected flow and historic traffic flow.The weight is determined by root-mean-square error method and the weight is modified by exponential smoothing method.This paper also has suggests a real time traffic flow prediction model and examples of predictions by this model are demonstrated.The predictions are corrected by least square method so to further expand and upgrade the application and practise of this model. |
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| Keywords: | weekly similarity traffic flow real time data prediction |
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