交通量的灰包络预测

Traffic volume forecasting with surrounding grey GM(1,1)

利用灰色预测法进行交通量预测有着满足贫数据序列,并可以处理波动明显的数据序列的优点。本文尝试运用灰色包络线预测的方法来预测交通量,可在预测远景交通量的同时,预测出其所在的区间,以保证预测的可信度。实践证明该方法具有较高的精度。

Grey GM （1,1） has been used to forecast traffic volume, to offer some samplers including few data, and to deal with fluctuant samplers. By surrounding grey GM （1,1）, it can predict not only the traffic volume itself, but also its interval. Practically it proves that this method has higher precision.