摘要
介绍了数据挖掘的基本概念及应用背景;讨论了作为复杂巨系统的智能交通系统的信息特性及其不确定性;指出控制的实时性要求在交通流状态迅速变化条件下尽快求出最优或次优控制变量,传统的基于数学建模方法的局限性决定其无法解决这些难题;对应用数据挖掘技术处理智能交通系统的某些具体问题进行了分析。
Basic concepts and application background of data mining are introduced. As a complex giant system, the information attributes and uncertainty of ITS are discussed. According to real time control under the quick changing of traffic flow it must get the optimum or second optimum variables as soon as possible. Traditional mathematics methods＇ limitations make it impossible to solve these problems. About data mining application in ITS problems are analyzed.
出处
《计算机工程》
CAS
CSCD
北大核心
2005年第B07期91-92,95,共3页
Computer Engineering
关键词
数据挖掘
智能交通系统
交通流
预测
Data mining
Intelligent transport system （ITS）
Traffic flow
Forecast
