公交出行画像

公交出行画像产品由北京工业大学和北京菱云科技联合成立的交通部重点实验室创新中心研发。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。

The Public Transit Travel Portrait Product was developed by the Innovation Center of the Key Laboratory of the Ministry of Transport, jointly established by Beijing University of Technology and Beijing Lingyun Technology. This product leverages public transit travel data to create travel portraits for various travel categories. The specific implementation workflow is as follows: First, build a public transit travel feature portrait tag system based on public transit travel data; Second, adopt the public transit travel portrait technology based on clustering algorithms to separately generate travel behavior portraits for individual travelers; Finally, conduct in-depth mining of travel behavior characteristic information and travel preferences across different time periods and for different travel purposes.

搜集汇总

背景与挑战

背景概述

公交出行画像数据集基于公交出行数据，通过聚类算法构建个体出行行为画像，深度挖掘出行行为特征和偏好，适用于交通行业分析。