Traffic Indexes Prediction Based on Grey Prediction Model

摘要

The grey prediction model is a kind of data prediction method in data mining area. The construction of the grey prediction model is introduced in the paper first. Then in order to obtain higher precision of the prediction model, the way on how to select adjust parameters to adjust the original model is introduced. Finally the prediction procedure is described in a figure and it is explained in details. In case study, fifty traffic indexes come from transport bureau of Hunan province are predicted. It shows the effect and efficiency of the grey prediction model and its adjust parameters.