一个整合现有和新型智能交通系统的框架

R. Meier, A. Harrington, V. Cahill
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引用次数: 35

摘要

交通数据的有效使用和重用依赖于ITS架构,该架构能够实现各种智能交通系统和应用程序之间的信息共享。现有的ITS体系结构,如KAREN或国家ITS体系结构,可用于在给定框架内开发系统,从而促进这种系统间集成。然而,这些体系结构通常包括关于系统功能的整体组织的假设,这些假设禁止在没有主要重新工程的情况下集成先前部署的系统。本文提出了一个智能交通系统架构框架,该架构旨在集成新的和现有的智能交通系统和应用。iTransIT框架支持许多可能的系统交互范式,并提出了一个分层数据模型,以促进具有不同服务需求和功能组织的系统之间的数据交换。这些数据层在公共上下文模型中定义,可以分布在多个系统中,并利用遗留系统和未来系统生成和使用的信息的重叠时间和空间方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for integrating existing and novel intelligent transportation systems
Efficient use and re-use of traffic data depends on an ITS architecture that enables information sharing across a wide variety of intelligent transportation systems and applications. Existing ITS architectures, such as KAREN or the national ITS architecture, can be used to develop systems within a given framework thereby facilitating such inter-system integration. However, these architectures typically include assumptions regarding the overall organization of system functionality that prohibit integration of previously deployed systems without major reengineering. This paper presents a framework for an ITS architecture that has been designed for integrating novel as well as existing intelligent transportation systems and applications. The iTransIT framework supports a number of possible systems interaction paradigms and proposes a layered data model to facilitate data exchange between systems with diverse service requirements and functional organizations. These data layers are defined within a common context model, may be distributed across multiple systems, and exploit the overlapping temporal and spatial aspects of information generated and used by both legacy and future systems.
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