摘要
面对海量、多源的公交行业数据,充分利用大数据存储和分析技术成为智能公交发展进程中亟待解决的关键问题。为提高智能公交系统的大数据处理适应性,结合智能公交系统数据特征和数据处理要求,提出了大数据环境下智能公交系统的数据处理框架体系。
To better utilize big data storage and analysis techniques has become a key issue in the development process of intelligent transportation when facing massive and multi-source industry data. In order to improve the adaptability of big data processing in AVIS, a data processing framework for APTS is proposed in big data environment based on the features of data and requirements of data processing.
出处
《价值工程》
2015年第11期236-238,共3页
Value Engineering
关键词
大数据
框架体系
智能公交系统
数据处理
big data
framework
Advanced Public Transportation Systems（APTS）
data processing
