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Chin. Phys. B, 2012, Vol. 21(11): 118901    DOI: 10.1088/1674-1056/21/11/118901
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Investigation of merging and diverging cars on a multi-lane road using cellular automation model

K. Jettoa b, H. Ez-Zahraouya, A. Benyoussefa
a Laboratoire de Magnétisme et de la Physique des Hautes Energies Université Mohammed V, Faculté des Sciences, Avenue Ibn Batouta, B.P. 1014, Rabat, Morocco;
b Ecole Hassania des Travaux Publics KM 7, Route DEL JADIDA, B.P 8108, Oasis, Casablanca, Maroc
Abstract  In this paper, we have investigated two observed situations in a multi-lane road. The first one concerns a fast merging vehicle. The second situation is related to the case of a fast vehicle leaving the fastest lane back to the slowest one and targeting a specific way out. We are interested in the relaxation time τ, i.e., which is the time that the merging (diverging) vehicle spends before reaching the desired lane. Using analytical treatment and numerical simulations for the NaSch model, we have found two states, namely, the free state in which the merging (diverging) vehicle reaches the desired lane, and the trapped state in which τ diverges. We have established the phase diagrams for several values of the braking probability. In the second situation, we have shown that diverging from the fast lane targeting a specific way out is not a simple task. Even if the diverging vehicle is in the free phase, two different states can be distinguished. One is the critical state, in which the diverging car can probably reach the desired way out. The other is the safe state, in which the diverging car can surely reach the desired way out. In order to be in the safe state, we have found that the driver of the diverging car must know the critical distance (below which the way out will be out of his reach) in each lane. Furthermore, this critical distance depends on the density of cars, and it follows an exponential law.
Keywords:  traffic flow      merging and diverging area      intelligent transportation system      cellular automation  
Received:  25 January 2012      Revised:  05 April 2012      Accepted manuscript online: 
PACS:  89.40.-a (Transportation)  
Corresponding Authors:  H. Ez-Zahraouy     E-mail:  ezahamid@fsr.ac.ma

Cite this article: 

K. Jetto, H. Ez-Zahraouy, A. Benyoussef Investigation of merging and diverging cars on a multi-lane road using cellular automation model 2012 Chin. Phys. B 21 118901

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