摘要
交通控制的实时性要求高,需要实时快速判定交通流混沌才可以实现交通流的混沌控制。由于在一个控制周期内只能获得很少量数据,交通流时间序列的样本数受到限制。然而现有的混沌识别方法由于要求样本量大,无法满足实时性要求。基于GM(1,1)模型的混沌特性提出一种新的实时快速识别交通流混沌的方法,可以在混沌之初检测到混沌。并通过理论交通流时间序列、实测交通流时间序列进行了实证分析。结果表明:只需至少4个样本点就可以在混沌产生之初精确地检测到混沌,可以很好地满足混沌检测实时性的要求。
On-line traffic control has high real time requirement. It needs to identify the chaos in traffic flow on-line and rapidly realize chaotic control of traffic flow. In a control cycle, only quite a few data can be obtained so that the number of samples for time series of traffic flows is restricted. But the existing identifying method cannot fit this requirement because it needs a large number of samples. A novel method for real-time rapid identification of the chaos in traffic flow is presented based on chaotic characteristics of GM （1,1） model and which can identify chaos in initial time when chaos generate. And the case studies of the novel approach are given for the time series of theoretical and real traffic flow. The result indicates that this method can identify chaos in initial time and just need at least 4 samples so it can meet the real-time requirement of the identifying of chaos efficiently.
出处
《系统工程》
CSCD
北大核心
2009年第12期116-119,共4页
Systems Engineering
基金
教育部博士点基金资助项目(20060286005)
关键词
混沌
实时快速识别
GM(1
1)模型
混沌特性
Chaos
Real-time Rapid Identification
GM（1,1） Model
Chaotic Characteristics
