空间数据挖掘在ITS中的研究进展  

Progress of Spatial Data Mining in ITS Research

作　　者：彭龙军[1] 吴啸[1] 李晓军[1] 韦东胜[2] 

机构地区：[1]中国科学院广州地理研究所广东省RS与GIS应用重点实验室,广州510070 [2]天津农学院农学系,天津300384

出　　处：《天津农学院学报》2007年第1期55-59,共5页Journal of Tianjin Agricultural University

基　　金：广东省自然科学基金"ITS时空数据分析与建模研究"(04000289);广州地理研究所青年基金"应用Java技术读取和显示mapinfo数据的组件研究与实现"(20030412)

摘　　要：智能交通系统(ITS)是解决当今交通问题最有前途的方向之一,交通信息的分析处理是其核心问题。本文首先介绍了智能交通系统和空间数据挖掘的概念,剖析了当前智能交通系统的发展现状及SDM应用的可能,并在分析交通信息的特征及空间数据挖掘(SDM)可发现的知识类型的基础上,提出了几种SDM在ITS中的应用模型。最后总结了SDM在ITS中进一步发展需要考虑和注意的问题。The intelligence transportation system is one of the methods of solving the transportation question, and the transportation information analysis processing is its core question. In the paper, it is first introduced the concepts of the intelligence transportation system and spatial data mining, then analyzed the developing situation of the current intelligence transportation system and the SDM application possibility. After the characteristics of the transportation information and the knowledge type of the space data mining which may be discovered are analyzed, several kinds of SDM in the ITS application model were proposed. Finally, some questions needed to be considered and taken more attention were summarized when SDM was developed further in the ITS.

关 键 词：空间数据挖掘 智能交通系统 研究进展 

分 类 号：P208[天文地球—地图制图学与地理信息工程] U412.366[天文地球—测绘科学与技术]