Cell Phone Mobility Classification based on k-Clustering and Linear Classification

Abstract

Road traffic data is an essential element of the intelligent transportation system. However, available traffic data is insufficient to meet the current needs due to the high investment of infrastructure and traffic sensors. Therefore, obtain the traffic data from cell phone information becomes an attractive option for its widely used, high opacity and low cost. In order to get the satisfying results, the large sample sizes are necessary for existing classification algorithms, which leads to the low real-time performance and high complexity. To overcome these problems, a mobility of cell phone classification method based on k- clustering and linear classification has been proposed in this paper. The experimental results demonstrate the higher stability and accuracy of proposed method.