基于参数拟合的交通流预测模型

The Forecast Model of Traffic Flow Based on Parameter Fitting

交通流的准确预测是交通控制的重要手段之一,基于曲线拟合的最小二乘法,将交通流统计数据分组,以各组均值和概率密度值为变量,进行函数拟合,并在显著性水平α下进行假设检验,得出了满足α的概率密度.最后进行了仿真实验并分析了结果.

The accurate prediction of traffic flow is one of the important means for traffic control.Based on the least-square method,the statistical data of traffic flow are grouped first.Then,the function fitting is executed with the variables of means and probability density of each group.And a hypothesis testing is done to get the probability density function,which satisfies the significance level.In the end,a simulated test is executed.