基于决策树的交通信号灯智能调整算法研究

交通信号灯的智能化研究是智能交通系统(ITS)的一个重要研究领域。通过交通信号灯智能化的调整,可以对道路交通进行有效的无人化疏导,既节省了警力,又提高了效率。交通信号灯时间的调整,采样数据量大,并有很强的随机性。因此,本文基于数据挖掘技术,提出了一种学习模型——决策树的算法,作为交通信号灯智能化调整的依据,并通过一个路口的实际检测,取得了良好的效果,证明是一种简捷可行的方法。

An algorithm study on intelligent traffic lights adjustment based on decision tree

Intelligent traffic lights adjustment research is an important research field in Intelligent Transportation System(ITS).Through the intelligent traffic lights adjustments,it can ease the road conditions unmannedly.It will save manpower and also improve efficiency.In this paper,an intelligent traffic lights adjustment method based on decision tree algorithm in data mining technology is applied.By means of practical testing,a satisfied result has been obtained,and it proves that this method is simple and feasible.