面向综合智能交通系统的多源异构数据集成框架研究

发布时间：2018-08-21 09:38

【摘要】：综合智能交通系统,能够提高交通基础设施的有效利用率,缓解我国日益突出的交通拥堵问题.数据是综合智能交通系统运行的核心,综合智能交通系统的有效运行离不开大量多源实时基础交通数据的支持.如何及时并有效地对综合智能交通系统所采集的多源异构数据进行有效集成,是目前智能交通系统研究领域亟待解决的基础问题之一.以云南省"七彩云南智慧出行云服务平台"的建设过程为基础,介绍了一种在面向综合智能交通系统的多源异构数据集成框架,该框架是一种基于元数据的异构数据集成框架.通过该框架,能够对综合智能交通系统中的静态结构化异构数据和动态非结构化异构数据进行及时有效的数据集成.
[Abstract]:Integrated Intelligent Transportation system (its) can improve the effective utilization of traffic infrastructure and alleviate the increasingly prominent traffic congestion in China. Data is the core of the integrated intelligent transportation system. The effective operation of the integrated intelligent transportation system can not be separated from the support of a large number of multi-source real-time traffic data. How to effectively integrate the heterogeneous and multi-source data collected by the Integrated Intelligent Transportation system (its) is one of the basic problems to be solved in the field of Intelligent Transportation system (its). Based on the construction process of Yunnan colorful Yunnan Intelligent Travel Cloud Service platform, this paper introduces a multi-source heterogeneous data integration framework for integrated intelligent transportation system, which is a meta-data-based heterogeneous data integration framework. Through this framework, the static structured heterogeneous data and dynamic unstructured heterogeneous data in the integrated intelligent transportation system can be integrated in a timely and effective manner.
【作者单位】：云南省交通科学研究所智能运输工程研究中心;
【分类号】：TP393.09;U495

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