Abstract: Time series of vehicle running status parameters not only present randomness, but also present chaotic characteristics. Therefore it is necessary to accurately identify the data characteristics of vehicle running status parameters, in order to identify if its parameter time series is random or chaotic. To obtain the maximum availed data information of the vehicle running status parameters. Delay-coordinate space reconstruction and the largest Lyapunov exponent method were used to carry out nonlinear dynamic analysis. Speed time series is used as an example, the results show that based on the Delay-coordinate phase space reconstruction, the saturate correlation dimension obtained by G-P algorithm is not an integer, and the Max-Lyapunov exponent is grater than zero, which demonstrate speed time series is chaotic time series from two aspects. Thus, data characteristics of the vehicle running status parameters can be identified by nonlinear dynamic analysis, and then appropriate methods can be used in follow-up research based on the identification, which is more scientific.

Key words: engineering of communications and transportation system, data characteristics identification, non-linear dynamics, vehicle running status parameter, delay-coordinate phase space reconstruction, correlation dimension, max-Lyapunov exponent