一种可以处理离乱数据的交通量预测模型

A traffic anticipating model which can deal with scattered data

未来交通量是道路交通规划与建设中十分重要的技术指标 ,是确定道路等级、道路断面、结构形式和标准不可缺少的条件。本文采用的交通量预测灰色系统模型GM (1,1) ,可有效处理贫信息和离乱数据 ,有较高的预测精度 。

The future traffic is an important target in traffic planning and road building. It is an indispensable term for determining road grade, cross-section, type of structure and road standard. The gray model can deal with scattered data effectively. This method has high degree of precision and high value in traffic anticipating.