Title :
Non-linear analysis of traffic flow
Author :
Nair, Attoor Sanju ; Liu, Jyh-Cham ; Rilett, Laurence ; Gupta, Saurabh
Abstract :
Traffic flow prediction is an important application of the ITS technology. In this paper, we applied nonlinear 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
Keywords :
automated highways; chaos; nonlinear systems; phase space methods; prediction theory; road traffic; time series; ITS technology; San Antonio freeway system; Texas; USA; chaotic properties; inductance loop data; nonlinear analysis; nonlinear time-series modeling; phase space dynamics; traffic flow prediction; Chaos; Data analysis; Inductance; Nonlinear dynamical systems; Predictive models; Scattering; Space exploration; Telecommunication traffic; Time series analysis; Traffic control;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948742
