加权马尔可夫模型在公路货运量预测中的应用

The Model of Weighted Markov Chain Applies to the Prediction of Volume of Goods Transported

由货运量序列生成货运量增量序列,它是一个平稳马尔可夫链.然后用聚类分析的方法进行状态划分,在此基础上以增量序列的各阶自相关系数为权,用加权的马尔可夫链进行货运量增量的状态预测.

The article produces its increment alignment from the one of volume of goods transported, which is a stable Markov chain. And in cluster analysis, we carry out state dividing. On its base each interrelated coefficient of increment alignment is weighting, and in weighted Markov chain. We can engage in state prediction of increment of volume of goods transported.