云中心海量交通数据预处理技术概述与应用实例

Overview of Preprocessing Technologies for Massive Traffic Data in Cloud Center and Application Examples

云计算借助于高速发展的网络联接各种计算能力,为大数据提供了无限的计算平台,同时也为海量交通数据的计算提供了支撑。在阐述交通行业对海量数据处理要求的基础上,分析目前常用的数据预处理技术、技术特点和交通云在海量交通数据预处理技术中所处的优势,给出交通云应用数据预处理技术的场景,并以重庆市渝中区2014年9月的交通大数据预处理实例为研究对象进行试验,试验结果可为相关研究的进一步展开提供参考。

Cloud computing connects various computing capabilities with the help of developing network at high speed to provide infinite computing platform for big data, and meanwhile provide support for computation of massive traffic data. On the basis of expatiating the requirements of transportation industry for processing of massive data, this paper analyzes data preprocessing technologies frequently used at present, technological features and advantages of traffic cloud in preprocessing technologies for massive traffic data, presents the scene of preprocessing technologies for traffic application data, and carries out test with preprocessing examples of traffic big data of Yuzhou District, Chongqing in September, 2014. The test results can provide a reference for further development of the relevant studies.