Chaotic analysis of traffic time series

• DOI: 10.1016/j.chaos.2004.09.104
• Publication Date: 2004-12-15T19:10:09Z
• Authors: Pengjian Shang; Xuewei Li; Santi Kamae
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

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.