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短时交通流预测模型综述
引用本文:王进 史其信. 短时交通流预测模型综述[J]. 刑警与科技, 2005, 1(1): 92-98
作者姓名:王进 史其信
作者单位:清华大学 教授
摘    要:交通流预测在智能交通系统中一直是一个热闹的研究领域,几十年来,专家和学者们用各种方法建立了许多相对而言精确的预测模型。本文在提出来交通流短期预测模型应具备的特性的基础上,讨论了几类主要模型的结果和精确度,并对交通流预测领域今后的发展趋势作出展望。

关 键 词:短时交通流预测 神经网络 混沌理论 小波理论 综合模型

The summery of the short-term traffic flow predicts model
Wang Jin;Shi JiXin. The summery of the short-term traffic flow predicts model[J]. Criminal Police & Technology, 2005, 1(1): 92-98
Authors:Wang Jin  Shi JiXin
Affiliation:Wang Jin Shi Qixin
Abstract:Traffic flow prediction has been an interesting research area in ITS for decades during which various prediction models have been developed and provide a relatively accurate prediction by using different ways. This paper analyzes the character of the prediction models and discusses the results and accuracy generated by different prediction models developed in this study. At last, this paper analyzes the developing direction of the prediction models.
Keywords:Short-term traffic flow prediction   Neural Network   Chaos theory   Wavelet theory   Integrated models
本文献已被 CNKI 维普 万方数据 等数据库收录!
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