An Automatic Data Cleaning Method for GPS Trajectory Data on Didi Chuxing GAIA Open Dataset Using Machine Learning Algorithms

摘要

In this paper, a new auto cleaning method for the GPS trajectory data on Didi Chuxing GAIA Open Dataset is developed. The support vector machine (SVM) and Decision Trees are employed to identify invalid, weak, and normal data of the Didi Chuxing GAIA Open Dataset raw data. To implement the proposed method, the Pandas Python library and scikit-learn Python library are used to read and process the data. Finally, an auto cleaning example is presented to illustrate the effectiveness of this method.