Correlation velocities in heterogeneous bidirectional cellular automata traffic flow

N. Lakouari, K. Bentaleb, H. Ez-Zahraouy and A. Benyoussef

Physica A: Statistical Mechanics and its Applications, 2015, vol. 439, issue C, 132-141

Abstract: Traffic flow behavior and velocity correlation in a bidirectional two lanes road are studied using Cellular Automata (CA) model within a mixture of fast and slow vehicles. The behaviors of the Inter-lane and Intra-lane Velocity Correlation Coefficients (V.C.C.) due to the interactions between vehicles in the same lane and the opposite lane as a function of the density are investigated. It is shown that high densities in one lane lead to large cluster in the second one, which decreases the Intra-lane velocity correlations and thereby form clusters in the opposite lane. Moreover, we have found that there is a critical density over which the Inter-lane V.C.C. occurs, but below which no Inter-lane V.C.C. happens. The spatiotemporal diagrams correspond to those regions are derived numerically. Furthermore, the effect of the overtaking probability in one lane on the Intra-lane V.C.C. in the other lane is also investigated. It is shown that the decrease of the overtaking probability in one lane decreases slightly the Intra-lane V.C.C. at intermediate density regimes in the other lane, which improves the current, as well as the Inter-lane V.C.C. decreases.

Keywords: Cellular Automata; Bi-directional; Correlations velocity; Traffic flow; Inter-lane V.C.C.; Intra-lane V.C.C. (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:439:y:2015:i:c:p:132-141

DOI: 10.1016/j.physa.2015.07.024

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