A Method for Urban Traffic Data Compression Based on Wavelet-PCA

摘要：

Due to limitation of storage space and cost, the massive amount of urban detected traffic data becomes a great burden. How to efficiently reduce these data and store them becomes more and more urgent. In this paper, an effective method for urban traffic data compression based on Wavelet-PCA is proposed. After preprocessing, the dataset is decomposed using wavelet and then multi-scale PCA is applied to reduce them to different dimensions. Simulation results prove that this method can greatly compress original data at the cost of acceptable recovery error and outperforms conventional PCA. Finally, we develop a prototype system specifically for urban traffic data compression using Visual Cfl.NET and Matlab.

关键词： traffic data Wavelet-PCA data compression

作者: Jun Ding Zuo Zhang IEEE Member Xiao Ma

作者单位: Department of Automation, Tsinghua University, Beijing, 100084, China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 1030-1034

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）