基于马尔柯夫过程的交通量预测

为解决传统交通量预测方法要求数据量较大、参数较多、精度较低的问题 ,提出了利用马尔柯夫过程来预测公路交通量的方法 ,建立了相应的预测模型。应用该方法对 32 1国道交通量进行了实际的预测 ,获得了满意的结果。

Conventional traffic prediction methods require large number of samples and parameters, and lower accuracy. To solve this problem a prediction method of highway traffic volume based on Markov process is proposed, and a corresponding model is found. It was applied to the practical prediction of traffic volume in national highway line №321, and some satisfied results were obtained.