海量数据管理框架与方法研究

Study on the Architecture and Methods for Large Amount of Data Management

随着智能交通系统的发展,如何有效管理海量交通数据成为重要的和急迫的任务。合理的框架结构和方法是海量数据管理的有效途径。该文介绍了在实际工程项目中采用的数据管理框架和数据处理方法。框架包括四个层次和五个功能模块;采用的方法主要有神经网络、模式识别和多智能体技术。

With the development of the intelligent transportation systems (ITS),h ow to manage large amount of data effectively is important and imperative.Fea sible architecture and methods are the effective way to manage data.In this pap er,based on the practical project,the architecture and some methods for data management are introduced.The architecture structure includes four data proce ssing levels and five functional modules.The intentional methods to manage data are described,which include ANN,MAS and so on.