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Simulation study of car accidents at the intersection of two roads in the mixed traffic flow

R. Marzoug, H. Ez-Zahraouy () and A. Benyoussef
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R. Marzoug: Laboratoire de Magnétisme et de Physique des Hautes, Énergies (URAC 12) B. P. 1014, Faculté des Sciences, Université Mohammed V Agdal, Rabat, Morocco
H. Ez-Zahraouy: Laboratoire de Magnétisme et de Physique des Hautes, Énergies (URAC 12) B. P. 1014, Faculté des Sciences, Université Mohammed V Agdal, Rabat, Morocco
A. Benyoussef: Laboratoire de Magnétisme et de Physique des Hautes, Énergies (URAC 12) B. P. 1014, Faculté des Sciences, Université Mohammed V Agdal, Rabat, Morocco

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 01, 1-14

Abstract: Using cellular automata (CA) Nagel–Schreckenberg (NaSch) model, we numerically study the probabilityPacof the occurrence of car accidents at nonsignalized intersection when drivers do not respect the priority rules. We also investigated the impact of mixture lengths and velocities of vehicles on this probability. It is found that in the first case, where vehicles distinguished only by their lengths, the car accidents start to occur above a critical densityρc. Furthermore, the increase of the fraction of long vehicles(FL)delays the occurrence of car accidents (increasingρc) and increases the risk of collisions whenρ > ρc. In other side, the mixture of maximum velocities (with same length for all vehicles) leads to the appearance of accidents at the intersection even in the free flow regime. Moreover, the increase of the fraction of fast vehicles(Ff)reduces the accident probability(Pac). The influence of roads length is also studied. We found that the decrease of the roads length enhance the risk of collision.

Keywords: Cellular automata; NaSch Model; intersection; car accidents; mixed traffic flow; road length (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183115500072

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