Regional passenger volume prediction method, system and equipment based on iterative optimization model

The invention discloses a regional passenger volume prediction method, system and device based on an iterative optimization model. The method comprises the following steps: firstly, collecting regional passenger volume related index data; then constructing an iterative optimization model; then constructing a related index data self-optimization model; collecting data of related indexes over the years, performing iterative training, and determining a distribution function in the optimization model; and finally, on the basis of the determined distribution function, predicting the regional passenger transport generation amount Xn in the next Cth year. The method can quantitatively analyze and predict the regional passenger transport generation amount, and is suitable for regions with any structural features. 本发明公开了一种基于迭代优化模型的区域客运量预测方法、系统及设备，首先采集区域客运量相关指标数据；然后构建迭代优化模型；接着构建相关指标数据自优化模型；采集相关指标的历年数据，迭代训练，确定优化模型中的分布函数；最后基于确定的分布函数，进行未来第C年的区域客运生成量Xn的预测。本发明可以定量分析并预测区域客运生成量，且适用于任意结构特征的区域。