基于数据挖掘技术的智能交通信息分析与决策研究

Analysis of Intelligent Traffic Information and Research on Decision Support Based on Data Mining Techniques

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 (ITS) is a most promising method in dealing with the traffic problems. One of the key problems of ITS is the analysis and management of traffic information. First, characters of ITS information and requirements for analyses are introduced; second, the shortcomings of the common methods which are usually used nowadays in information analyses and decision support indicated. An integrated system model of ITS information intelligent analysis and the decision support based on the decision support system theory of new era and computing intelligence techniques are given. In the mean time, the pivotal techniques and its realization schemes are discussed.