Non-linear analysis of traffic flow Conference Paper uri icon

abstract

  • Traffic flow prediction is an important application of the ITS technology. In this paper, we applied non-linear time-series modeling techniques to analyze a traffic data. Our objective is to investigate the deterministic properties of traffic flow using a nonlinear time series analysis technique. The experiment is performed for inductance loop data collected from the San Antonio freeway system. Our study concludes that the traffic data exhibits chaotic properties and techniques based on phase space dynamics can be used to analyze and predict the traffic flow.

name of conference

  • ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)

published proceedings

  • 2001 IEEE INTELLIGENT TRANSPORTATION SYSTEMS - PROCEEDINGS

author list (cited authors)

  • Nair, A. S., Liu, J. C., Rilett, L., & Gupta, S.

citation count

  • 40

complete list of authors

  • Nair, AS||Liu, JC||Rilett, L||Gupta, S

publication date

  • January 2001