A Lossless Compression Method for CDR Trajectory Data
Junjun Si, Yang Jin, Zhichao Liu, Mengqi Liu, Bo Tu, Shuaifu Dai, Xiangqun Chen · 2022
Call Detail Record (CDR) data are generated by mobile user equipment while using mobile communication services. With the development of communication techniques, an urgent need to efficiently store the CDR trajectory data has arisen due to the large volume of the data. Based on CDR data analysis, a lossless CDR trajectory compression method is proposed in this paper. The method employs Huffman coding to compress the trajectory data. We evaluated the proposed method on a real CDR dataset. And experimental results show that the compressed data size reduces to 2.1% of the original trajectory data size without losing location information.