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.
|
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
|
[1] |
Chowdhury D, Santen L and Schadschneider L 2000 Phys. Rep. 329 199
|
[2] |
Nagel K and Schreckenberg M 1992 J. Phys. I 2 2221
|
[3] |
Ez-Zahraouy H, Jetto K and Benyoussef A 2006 Chinese Journal of Physics 44 486
|
[4] |
Schadschneider A and Schreckenberg M 1993 J. Phys. A 26 1679
|
[5] |
Schreckenberg M, Schadschneider A, Nagel K and Ito N 1995 Phys. Rev. E 51 2939
|
[6] |
Cassidy M J and Rudjanakanoknad J 2005 Transportation Research Part B: Methodological 3910 896
|
[7] |
Ahn S and Cassidy M J 2007 17th International Symposium of Transportation and Traffic Theory July 23-25 2007 London, UK
|
[8] |
Helbing D 2001 Rev. Mod. Phys 73 1068
|
[9] |
Hidas P 2005 Transportation Research Part C 13 37
|
[10] |
Kim J T, Kim J and Chang M 2008 Canadian Journal of Civil Engineering 35 301
|
[11] |
Laval J A and Leclercq L 2008 Transportation Research Part B 42 511
|
[12] |
Leclercq L and Laval J A 2007 Traffic and Granular Flow '07 A Multiclass Car-Following Rule Based on the LWR Model (Berlin: Springer)
|
[13] |
Lei L, Dong L Y, Song T and Dai S Q 2006 Acta Phys. Sin. 55 1711 (in Chinese)
|
[14] |
Jia B, Li X G, Jiang R and Gao Z Y 2010 International Journal of Modern Physics C 21 409
|
[15] |
Nagatani T 1993 J. Phys. A 26 L 781
|
[16] |
Nagatani T 1994 Physica A 202 449
|
[17] |
Nagatani T 1994 J. Phys. Soc. Jpn. 63 52
|
[18] |
Nagatani T 1996 J. Phys. A 29 6531
|
[19] |
Rickert M, Nagel K , Schreckenberg M and Latour A 1996 Physica A 231 534
|
[20] |
Wagner P, Nagel K and Wolf D E 1997 Physica A 234 687
|
[21] |
Chowdhury D, Wolf D E and Schreckenberg M 1997 Physica A 235 417
|
[22] |
Nagel K, Wolf D E, Wagner P and Simon P 1998 Phys. Rev. E 58 1425
|
[23] |
Knospe W, Santen L, Schadschneider A and Schreckenberg M 1999 Physica A 265 614
|
[24] |
Zhang X and Hu G 1995 Phys. Rev. E 52 4664
|
[25] |
Awazu A 1998 J. Phys. Soc. Jpn. 67 1071
|
[26] |
Nagel K and Herrmann H J 1993 Physica A 199 254
|
[27] |
Nagel K and Rickert M 2001 Parallel Computing 27 1611
|
[28] |
Rickert M and Nagel K 2001 Future Generation Computer Systems 17 637
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|