摘要
根据智能交通大数据处理的强实时性和高效性特点,构建基于大数据技术的智能交通数据处理平台,对其关键技术和处理流程深入分析,并从方法论角度提出针对该平台的交通大数据处理体系架构,系统地从数据源、数据处理、知识库和应用四个方面论述该架构的主要研究内容和架构所涉及的理论、方法与技术,为交通大数据的深入分析与处理奠定基础.
Based on strong real-time characteristics and high efficiency of traffic big data processing, a traffic data processing platform based on big data technique is built up, and its key technique and process- ing flow are analyzed in detail. And the architecture of traffic big data processing system is proposed for this platform from methodological view. The main investigation topics of this architecture and its con- cerned theory, method and technique are discussed in connection with data source, data processing, knowledge database, and application of the system, laying a foundation for detailed analysis and processing of traffic data.
出处
《兰州理工大学学报》
CAS
北大核心
2015年第2期112-115,共4页
Journal of Lanzhou University of Technology
基金
甘肃省自然科学基金(1010RJZA046)
高校基本科研项目(1203ZTC179)
关键词
大数据
智能交通
HADOOP
体系架构
分布式计算
big data
intelligent traffic
Hadoop
system architecture
distributed computation