摘要
当前智能交通领域的信息资源越来越庞大,用户的需求趋势越来越多样化,如何为用户提供高效的、实时的公共交通服务,显得越来越重要,论文提出了基于云计算的面向智能交通海量信息高性能计算支撑公共服务框架。该框架采用云计算的计算模式,处理多用户需求及大规模海量的交通信息,通过网络动态地、按需地提供个性化服务。研究海量信息的统一管理、共享的云存储方法。该框架以"数据融合、服务封装、流程驱动"的异构数据集成化机制为管理方法,构造出出行、驾车、天气、交通、诱导,管理,决策等全方位、多方式、更便捷的服务体系的云服务模式,追求优质,高效实时的服务。
In the current field of the intelligent traffic which has accumulated more and more traffic information,diversification demand.It is more and more important to afford high efficient and real-time common traffic service to users.The article proposes the public service framework supported by high performance computing based on cloud computing and facing intelligent traffic massive data.The framework uses the cloud computing to dispose multi-user demands,extensive and massive traffic information to offer the personalized service dynamically and demand-computing by the Internet and study the cloud storing method of the united management and share of the massive information.The framework structures all、multi-choice and more convenient service cloud service pattern of service system for the travelling,driving,weather,traffic,leading,managing,decision,etc to pursue he good quality and efficient real-time service in the method of ＂data fusion,service encapsulating,process-driven＂ heterogeneous data integrated management.
出处
《机电产品开发与创新》
2013年第1期87-89,共3页
Development & Innovation of Machinery & Electrical Products
基金
863项目计划(2012AA112307)
关键词
智能交通
云计算
云服务
intelligent traffic
cloud computing
cloud service
