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首页> 外文期刊>電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding >UML based Data Model and Process for Efficient Integration of Heterogeneous Highway Traffic Image Data
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UML based Data Model and Process for Efficient Integration of Heterogeneous Highway Traffic Image Data

机译:基于UML的异构公路交通图像数据高效集成的数据模型和过程

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摘要

Recently, new techniques to efficiently manage highway traffic image data have received significant interests in the area of intelligent transport system. The issues that an integration system for highway traffic image data sources must face are due to several factors such as the variety and amount of data available, the representational heterogeneity of the data in the different sources, and the autonomy and differing capabilities of the sources. This paper is an effort to represent integration method of various highway traffic image data using proposed UML based data model and process, thus enabling highway traffic image data sharing and exchange through Internet. The advantages of using proposed UML based Object-Oriented model in transportation area are reusability and extensibility.
机译:近来,有效管理高速公路交通图像数据的新技术已经在智能交通系统领域引起了极大的兴趣。公路交通图像数据源的集成系统必须面对的问题是由于以下几个因素造成的,例如可用数据的种类和数量,数据在不同数据源中的表示异质性以及数据源的自治性和能力。本文致力于使用基于UML的数据模型和过程来表示各种高速公路交通图像数据的集成方法,从而使高速公路交通图像数据可以通过Internet共享和交换。在交通领域中使用建议的基于UML的面向对象模型的优点是可重用性和可扩展性。

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