Pure electric buses status information compression and transmission methods basis on optimized Huffman coding algorithms
Jingfeng Yang1, 2, 3, Yong Li4, Nanfeng Zhang1, 5, Jiarong He6, Yueju Xue1
1South China Agricultural University, Guangzhou, 510642, China
2Guangzhou Public Transport Data Management Centre, Guangzhou, 510620, China
3Guangzhou Transport Information Control Centre, Guangzhou, 510620, China
4Guangzhou Institute of Geography, Guangzhou, 510070, China
5Guangzhou Entry-exit Inspection and Quarantine. Guangzhou, 510623, China
6South China University of Technology, Guangzhou, 510641, China
To strengthen safety supervision, satellite positioning information is needed to be uploaded as well as battery status information of pure electric buses. For the unbalanced coverage of mobile communication base station, data loss and incomplete data are prone to emergence when a large amounts of real-time data transmission through 3G/GPRS network in the poor communication environment of subregion, which is difficult to achieve large-scale farmland information collection and transmission simultaneously. Therefore, optimized Huffman coding compression algorithm for text-oriented information is promoted in this paper. The whole process test results of data exchange and decompression show that, the data compression algorithms can realize data compression effectively. The data sampling period is relatively smaller and its adjacent data is closer, the higher compression rate can be obtained by corresponding compression algorithms, and it can the basically ensure the decompression data without distortion. This will improve the efficiency of information transmission of transportation, as well as to ensure the integrity of information, which is of great significance to realization of transportation energy conservation.