短时交通流预测模型综述 | |
王进 ; 史其信 ; Wang Jin ; Shi Qixin | |
2010-07-19 ; 2010-07-19 | |
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 Short-term traffic flow prediction, Neural Network, Chaos theory, Wavelet theory, Integrated models U491.14 |
其他题名 | The summery of the short-term traffic flow predicts model |
中文摘要 | 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。; 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 develop- ing direction of the prediction models |
语种 | 中文 ; 中文 |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/76524] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | 王进,史其信,Wang Jin,等. 短时交通流预测模型综述[J],2010, 2010. |
APA | 王进,史其信,Wang Jin,&Shi Qixin.(2010).短时交通流预测模型综述.. |
MLA | 王进,et al."短时交通流预测模型综述".(2010). |
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