Title of article :
Chaotic analysis of traffic time series
Author/Authors :
Pengjian Shang، نويسنده , , Santi Kamae، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2005
Abstract :
In this paper, we applied non-linear time series modeling techniques to analyze the traffic data collected from the Beijing Xizhimen. The results indicated that chaotic characteristics obviously exist in the traffic system; techniques based on phase space dynamics can be used to analyze and predict the traffic speed.
Journal title :
Chaos, Solitons and Fractals
Journal title :
Chaos, Solitons and Fractals