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

doi:10.1088/1674-1056/21/11/118901

中国物理B ›› 2012, Vol. 21 ›› Issue (11): 118901-118901.doi: 10.1088/1674-1056/21/11/118901

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇下一篇

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

K. Jetto^{a b}, H. Ez-Zahraouy^a, A. Benyoussef^a

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

收稿日期:2012-01-25 修回日期:2012-04-05 出版日期:2012-10-01 发布日期:2012-10-01

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

K. Jetto^{a b}, H. Ez-Zahraouy^a, A. Benyoussef^a

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

Received:2012-01-25 Revised:2012-04-05 Online:2012-10-01 Published:2012-10-01
Contact: H. Ez-Zahraouy E-mail:ezahamid@fsr.ac.ma

摘要/Abstract

摘要： 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.

关键词: traffic flow, merging and diverging area, intelligent transportation system, cellular automation

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.

Key words: traffic flow, merging and diverging area, intelligent transportation system, cellular automation

中图分类号: (Transportation)

89.40.-a

K. Jetto, H. Ez-Zahraouy, A. Benyoussef . Investigation of merging and diverging cars on a multi-lane road using cellular automation model[J]. 中国物理B, 2012, 21(11): 118901-118901.

K. Jetto, H. Ez-Zahraouy, A. Benyoussef. Investigation of merging and diverging cars on a multi-lane road using cellular automation model[J]. Chin. Phys. B, 2012, 21(11): 118901-118901.

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

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

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