公交出行画像

本产品基于公交出行数据，实现对不同出行类型的出行画像。实现方案如下：首先，基于公交出行数据，构建公交出行特征画像标签体系；其次，采用聚类算法的公交出行画像技术，分别形成针对个体的出行行为画像；最后，深度挖掘驾出行行为特征信息和在不同时间段、出行目的的出行偏好。

This product constructs travel profiles for different travel types based on public transit travel data. The specific implementation steps are as follows: First, build a public transit travel feature profile labeling system using public transit travel data; second, apply the public transit travel profile technology based on clustering algorithms to separately generate individual travel behavior profiles; finally, deeply mine travel behavior feature information and travel preferences across different time periods and for various travel purposes.