Abstract: With the wide use and system integration of Intelligent Transportation System, traffic information and traffic states become more and more complexity and very difficult to deal with. This paper concentrates on the following three aspects:① analyses the features of ITS information, which include multi-source, heterogeneity and multi-levelness, and the dual-properties of traffic state, which include objectiveness, abstractness, certainty, continuity and subjectivity, concreteness, fuzziness, discreteness.② analyses the significance of information fusion and data mining and puts forward processing modes for ITS information process.③ puts forward the architecture for ITS information process, which integrates information fusion and data mining and could provide strong support for ITS applications.

Key words: ITS, traffic information, information fusion, data mining, architecture

摘要： 智能交通系统(ITS)的普遍应用与系统整合，使得交通信息越来越复杂，交通状态更加难以把握，信息处理面临新的挑战.本文的工作集中在以下三个方面:①剖析了ITS信息的特征—— 多源性、异构性和层次性；并指出交通状态作为最高层次的文通信息，具有双重属性的特点——客观、抽象、确定、连续性以及主观、形象、模糊、离散性。②分析了信息融合和数据挖掘技术在ITS信息处理中的重要价值，提出其信息处理的模式与流程。③设计出ITS信息处理系统的逻辑结构，实现了信息融合和数据挖掘技术的集成，体现出该系统的信息中心功能和平台支持功能。

关键词: ITS, 交通信息, 信息融合, 数据挖掘, 系统结构