基于模式识别的短时交通流预测

Traffic Flow Short-term Forecasting Based on Pattern Recognition

实时准确可靠的短时交通流预测是智能运输系统的基础,有很多种方法被用来对交通流进行预测。基于模式识别的交通流预测方法是较新的预测方法之一。提出一个用于短时交通流预测的模式和对应的模式识别算法,并对城区道路的交通流做了实验预测,结果表明在趋势上较为准确。

Accurate and reliable real-time traffic flow forecasting is the basis for intelligent transport systems,a variety of methods have been used to predict traffic flow.Among them,traffic flow forecasting based on pattern recognition method is a relatively new forecasting method.In this paper,a short-term traffic flow prediction model and the corresponding pattern recognition algorithm are proposed,and the traffic flow prediction experiment results show that the trend is accurate.