Correlations among Various Parameters in Car-Following Models with NGSIM Trajectory Data

Article Preview

Abstract:

Based on NGSIM empirical trajectory data, we focus on verifying the correlations among various parameters in car-following models. The data is preprocessed primarily by symmetric exponential moving average filter. Then, based on SPSS, we explore the preprocessed NGSIM trajectory data by plotting scatter diagram and correlation analysis. The results show that the acceleration of the following vehicle is obviously proportional to the velocity difference and acceleration difference between the following and the preceding (next preceding) vehicle, as well as the product of such velocity difference and the following vehicle’s velocity. Furthermore, we analyze the delay time by using time series correlation formula and modified R/S and V/S statistics methods.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

179-184

Citation:

Online since:

July 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Reuschel: Oestrreichisches Ingenieur-Archir Vol. 4 (1950), p.193.

Google Scholar

[2] L.A. Pipes: J. Appl. Phys. Vol. 24 (1953), p.274.

Google Scholar

[3] G.F. Newell: Oper. Res. Vol. 9 (1961), p.209.

Google Scholar

[4] M. Bando: Phys. Rev. E Vol. 51 (1995), p.1035.

Google Scholar

[5] D. Helbing and B. Tilch: Phys. Rev. E Vol. 58 (1998), p.133.

Google Scholar

[6] R. Jiang, Q.S. Wu and Z.J. Zhu: Phys. Rev. E Vol. 64 (2001), p.017101.

Google Scholar

[7] X.M. Zhao and Z.Y. Gao: Eur. Phys. J. B Vol. 47 (2005), p.145.

Google Scholar

[8] NGSIM: Next Generation Simulation: FHWA, U.S. Department of Transportation. (www. ngsim. fhwa. dot. gov).

Google Scholar

[9] C.F. Choudhury, M.E. Ben-Akiva, T. Toledo, G. Lee and A. Rao: Presented in the 86th Annual Meeting of the Transportation Research Board, Washington, D.C., (2007).

Google Scholar

[10] L. Leclercq, N. Chiabaut, J.A. Laval and C. Buisson: Transp. Res. Rec. Vol. 1999 (2007), p.79.

Google Scholar

[11] R.P. Roess and J.M. Ulerio: Presented in the 86th Annual Meeting of the Transportation Research Board, Washington, D.C., (2007).

Google Scholar

[12] T. Toledo and D. Zohar: Transp. Res. Rec. Vol. 1999 (2007), p.71.

Google Scholar

[13] X.Y. Lu and A. Skabardonis: Presented in the 86th Annual Meeting of the Transportation Research Boar, Washington, D.C., (2007).

Google Scholar

[14] C. Thiemann, M. Treiber and A. Kesting: Transp. Res. Rec. Vol. 2088 (2008), p.90.

Google Scholar

[15] A.W. Lo: Econometrica Vol. 59 (1991), p.1297.

Google Scholar

[16] G. Liudas, K. Piotr, L. Remigijus and T. Gilles: J. Econ. Vol. 112 (2003), p.265.

Google Scholar