摘要
交通流预测在智能交通系统中是一个热门的研究领域,近几十年来,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。文中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做出展望。
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 developing direction of the prediction models.
出处
《物流工程与管理》
2009年第5期79-80,共2页
Logistics Engineering and Management
关键词
短时交通流预测
神经网络
综合模型
Short-term traffic flow prediction
Neural Network
Integrated models