Cellular automata model simulating traffic car accidents in the on-ramp system

H. Echab, N. Lakouari, H. Ez-Zahraouy () and A. Benyoussef
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H. Echab: Laboratoire de Magnétisme et de Physique des Hautes Energies (URAC 12), Département de physique, B.P. 1014, Faculté des sciences, Université Mohammed V Agdal, Rabat, Morocco
N. Lakouari: Laboratoire de Magnétisme et de Physique des Hautes Energies (URAC 12), Département de physique, B.P. 1014, Faculté des sciences, Université Mohammed V Agdal, Rabat, Morocco
H. Ez-Zahraouy: Laboratoire de Magnétisme et de Physique des Hautes Energies (URAC 12), Département de physique, B.P. 1014, Faculté des sciences, Université Mohammed V Agdal, Rabat, Morocco
A. Benyoussef: Laboratoire de Magnétisme et de Physique des Hautes Energies (URAC 12), Département de physique, B.P. 1014, Faculté des sciences, Université Mohammed V Agdal, Rabat, Morocco

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 09, 1-12

Abstract: In this paper, using Nagel–Schreckenberg model we study the on-ramp system under the expanded open boundary condition. The phase diagram of the two-lane on-ramp system is computed. It is found that the expanded left boundary insertion strategy enhances the flow in the on-ramp lane. Furthermore, we have studied the probability of the occurrence of car accidents. We distinguish two types of car accidents: the accident at the on-ramp site(Prc)and the rear-end accident in the main road(Pac). It is shown that car accidents at the on-ramp site are more likely to occur when traffic is free on roadA. However, the rear-end accidents begin to occur above a critical injecting rateαc1. The influence of the on-ramp length(LB)and position(xC0)on the car accidents probabilities is studied. We found that largeLBorxC0causes an important decrease of the probabilityPrc. However, only largexC0provokes an increase of the probabilityPac. The effect of the stochastic randomization is also computed.

Keywords: Cellular automata; on-ramp; car accidents (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S0129183115501004

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