Algorithm and Application for Labeling Workplace and Residence based on Traffic Big Data

Jie Wang, Yunyao Zhou
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Abstract

Congestion in urban makes too many commuters choose public transport for traveling. A large number of public transportation travel data can accurately calculate workplace and residence of the regular passengers. The label of workplace and residence helps to analyze urban migration and the distribution of workplace and residence.
基于交通大数据的工作居所标注算法及应用
城市的拥堵使得太多的通勤者选择公共交通工具出行。大量的公共交通出行数据可以准确计算出固定乘客的工作地点和居住地。工作地点和居住地的标签有助于分析城市迁移和工作地点和居住地的分布。
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