https://doi.org/10.1140/epjb/e2005-00325-x
Statistical analysis of floating-car data: an empirical study
1
Department of Physics, Zanjan University, P.O. Box
45196-313, Zanjan, Iran
2
Department of Nano-Science, Institute for Studies in Theoretical Physics and
Mathematics (IPM), P.O. Box 19395-5531, Tehran, Iran
3
Sufi Institute, P.O. Box 45195-1547, Zanjan, Iran
Corresponding author: a darooneh@mail.znu.ac.ir
Received:
20
April
2005
Revised:
6
July
2005
Published online:
11
October
2005
We present the results of statistical analysis of the empirical floating-car data. Our investigations are based on analyzing the time series of four basic quantities namely velocity, velocity difference, spatial gap and the acceleration associated to some instrumented cars. We obtain the statistical characteristics, including the mean, variance and relative variance of these time series by taking direct time averages. We also try to identify the moving phases of the instrumented vehicle according to the statistical properties of its velocity time series. Moreover, by exploring the two-point joint probabilities, we propose a new approach for modelling vehicular dynamics based on the floating car data.
PACS: 45.70.Vn – Granular models of complex systems; traffic flow / 05.90.+m – Other topics in statistical physics, thermodynamics, and nonlinear dynamical systems / 05.10.-a – Computational methods in statistical physics and nonlinear dynamics
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2005