Abstract
In this paper, we study the correlation characteristics of synchronization flow in a two-lane model with the partial reduced lane based on the Kerner–Klenov–Wolf cellular automation model using the detrended fluctuation analysis (DFA). The local fundamental diagram and cross-correlation near the entry of the partial reduced lane have been analyzed in the periodic boundary condition. The typical two-dimensional scatter diagram in the local fundamental diagram and the noncorrelation of the cross-correlation between the local density and flow reveal characteristics of synchronization flow near the entry of the reduced lane. By the DFA, the synchronized flow at a traffic bottleneck exhibits the characteristics of long-range correlation. The results of investigation indicate that the injection rate, removal rate, and the location of the partial reduced lane have an obvious influence on the change of the scale exponent in the open boundary condition. Moreover, the length of the partial reduced lane has impact on the change of the scale exponent in the periodic boundary condition.
Similar content being viewed by others
References
Chowdhury, D., Santen, L., Schadschneider, A., Schreckenberg, M.: Statistical physics of vehicular traffic and some related systems. Phys. Rep. 329, 199–329 (2000)
Helbing, D.: Traffic and related self-driven many-particle systems. Rev. Mod. Phys. 73, 1067–1141 (2001)
Kerner, B.S.: Rehborn, H.: Experimental features and characteristics of traffic jams. Phys. Rev. E. 53, 1297–1300 (1996)
Kerner, B.S.: The Physics of Traffic. Springer, Berlin (2004)
Kerner, B.S.: Complexity of spatiotemporal traffic phenomena in flow of identical drivers: explanation based on fundamental hypothesis of three-phase theory. Phys. Rev. E. 85, 036110–036128 (2012)
Kerner, B.S., Klenov, S.L., Wolf, D.E.: Cellular automata approach to three-phase traffic theory. J. Phys. A 35, 9971–10013 (2002)
Lee, H.K., Barlovic, R., Schreckenberg, M., Kim, D.: Mechanical restriction versus human overreaction triggering congested traffic states. Phys. Rev. Lett. 92, 238702–238706 (2004)
Knospe, W., Santen, L., Schadschneider, A., Schreckenberg, M.: A realistic two-lane traffic model for highway traffic. J. Phys. A 35, 3369–3388 (2002)
Jiang, R., Wu, Q.S.: First order phase transition from free flow to synchronized flow in a cellular automata model. Eur. Phys. J. B. 46, 581–584 (2005).
Tang, T.Q., Huang, H.J., Gao, Z.Y.: Stability of the car-following model on two lanes. Phys. Rev. E 72, 066124–066130 (2005)
Tang, T.Q., Wu, Y.H., Caccetta, L., Huang, H.J.: A new car-following model with consideration of roadside memorial. Phys. Lett. A 375, 3845–3850 (2011)
Tang, T.Q., Shi, Y.F., Yu, Y.P., Yu, G.Z.: A bus-following model with an on-line bus station. Nonlinear Dyn. 70, 209–215 (2012)
Tang, T.Q., Wang, Y.P., Yang, X.B., Wu, Y.H.: A new car-following model accounting for varying road condition. Nonlinear Dyn. 70, 1397–1405 (2012)
Peng, C., Buldyrev, S., Havlin, S.: Mosaic organization of DNA nucleotides. Phys. Rev. E. 49, 1685–1689 (1994)
Mush, T., Higchi, H.: The 1/f fluctuation of a traffic current on an expressway. Jpn. J. Appl. Phys. 15, 1271–1275 (1976)
Vojak R., Vehel J L, Danech-Pajouh M.: A first step towards road traffic short-term prediction using multifractal tools, in Proc. DRIVE-II Workshop on Short Term Traffic Forecasting (Delft, 1994), pp. 243–250.
Neubert, L., Santen, L., Schadschneider, A., Schreckenberg, M.: Single-vehicle data of highway traffic: a statistical analysis. Phys. Rev. E. 60, 6480–6490 (1999)
Wu, J.J., Sun, H.J., Gao, Z.Y.: Long-range correlations of density fluctuations in the Kerner-Klenov-Wolf cellular automaton three-phase traffic flow model. Phys. Rev. E. 78, 036103–036108 (2008)
Wu, J.J., Xu, S.Y., Sun, H.J.: Detrended fluctuation analysis of time series in mixed traffic flow. Acta. Phys. Sin. 60, 019502–019508 (2011)
Xu, N., Shnag, P.J., Santi, K.: Modeling traffic flow correlation using DFA and DCCA. Nonlinear Dyn. 61, 207–216 (2010)
Kantelhardta, J.W., Koscielny, B.E., Regol, H.H.A., Havlin, S., Bundea, A.: Detecting long-range correlations with detrended fluctuation analysis. Phys. A 295, 441–454 (2001)
Telesca, L., Colange, G., Lapenna, V., Macchiato, M.: Fluctuation dynamics in geoelectrical data:an investigation by using multifractal detrended fluctuation analysis. Phys. Lett. A. 332, 398–404 (2004)
Acknowledgments
The project supported by the National Natural Science Foundation of China (Grant Nos. 11262003 & 11302125 & 11372147), Shanghai Science and Technology Commission (No. 12PJ1404000), the Graduate Student Innovative Foundation of Guangxi Zhuang Autonomous Region (No. YCSZ2012013) and Innovation Foundation of Shanghai Municipal Ministry of Education (No. 13YZ085).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jia, LS., Teng, Wz., Pan, W. et al. Correlation analysis of synchronization flow at a traffic bottleneck. Nonlinear Dyn 78, 1801–1809 (2014). https://doi.org/10.1007/s11071-014-1565-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-014-1565-0