抄録
This paper examines the nonlinear dynamics of traffic time series data measured by different time scales, including one-minute, five-minute and ten-minute counts. The approach of Lan's et al (Journal of the Eastern Asia Society for Transportation Studies, Vol. 6, 2005) parsimony procedure is employed to test for chaos. The empirical results from the United States I-35 Freeway field data reveal that if the flow data are measured in one-minute, the traffic dynamics in the morning hours exhibit chaotic phenomena, However, if the same flow data are measured in five-minute and ten-minute, chaotic structures may disappear, and instead, quasi-periodic motions may emerge.
