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智能交通系统是解决当今交通问题最有前途的手段之一 ,而交通信息的分析与处理是其核心问题。首先介绍智能交通系统的信息特征及其分析要求 ,剖析了当前国内外常用的分析方法在信息处理与辅助决策方面存在的不足 ,提出了一个完整的、针对智能交通行业的交通信息智能分析与辅助决策系统模型。该模型以数据挖掘技术为核心 ,全面运用了新一代决策支持系统理论和计算智能技术 ,最后阐述了模型的各主要组成部分及其关键技术与实现方案。
Intelligent transportation system is one of the most promising means to solve the traffic problem today, and traffic information analysis and processing is its core issue. First of all, this paper introduces the information characteristics of intelligent transportation system and its analysis requirements, analyzes the current domestic and international analysis methods in the information processing and decision-making deficiencies, proposed a complete intelligent transportation industry for intelligent traffic information analysis and assistance Decision System Model. The model takes data mining as the core and makes full use of the new generation of DSS theory and computational intelligence technology. Finally, the main components of the model and its key technologies and implementation schemes are described.