Relationship between Short Term Traffic Flow Chaos Fractal Properties and the Necessary Data for Prediction
Analyze the traffic flow in multi-scale time window of a freeway by using the nonlinear analysis method such as Correlation dimension,recursive map and so on,we find that chaos and fractal still exist in wide observation scales.Traffic flow correlation dimension reduces when the length of time window increases,in the observation scale of minutes.However,traffic flow correlation dimension reduces when the length of time window reduces,in the observation scale of seconds,instead of fractal property disappearance as predicted before.We present that,from the view of prediction,the recording point which is 10 times of the correlation dimension is an essential length of the data to predict.The simple model we present,which includes speed difference between vehicles and observation scales of traffic flow,can explain some of the reasons of the traffic flow chaos.
component recursive map correlation dimension traffic flow
Gang Yin Yu Feng Chen
School of Measurement-Control and Mechanical-Electrical Engineering Inner Mongolia Vocational Colleg School of Mechanical and Electrical Engineering Hohhot Vocational College Hohhot,China
国际会议
杭州
英文
2234-2238
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）