INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
A cellular automata traffic flow modeling of desired speed variability |
K. Bentaleba, K. Jettoa b, H. Ez-Zahraouya, A. Benyoussefa c d |
a Laboratoire de Magnétisme et de Physique des Hautes Energies, associé au CNRST (URAC 12), Département de physique, B.P. 1014, Faculté des sciences, Université Mohammed V Agdal, Rabat, Morocco; b Ecole Hassania des Travaux Publics Km 7, Route d'El Jadida, BP8108, Oasis Casablanca, Morocco; c Institute of Nanomaterials and Nanotechnologies, INANOTECH, MACsIR, Rabat, Morocco; d Hassan II Academy of Science and Technology, Rabat, Morocco |
|
|
Abstract The satisfaction rate of desired velocity in the case of mixture of fast and slow vehicles is studied by using cellular automaton method. It is found that at low density the satisfaction rate depends on the maximal velocity. However, the behavior of the satisfaction rate as a function of the coefficient of variance is independent of the maximal velocity. This is in good agreement with empirical results obtained by Lipshtat [Phys. Rev. E 79 066110 (2009)]. Furthermore, our numerical result demonstrates that at low density the satisfaction rate takes its higher values, whereas the coefficient of variance is close to zero. The coefficient of variance increases with increasing density, while the satisfaction rate decreases to zero. Moreover, we have also shown that, at low density the coefficient variance depends strongly on the probability of overtaking.
|
Received: 11 April 2012
Revised: 12 July 2012
Accepted manuscript online:
|
PACS:
|
89.40.Bb
|
(Land transportation)
|
|
02.70.Ac
|
|
|
07.05.Tp
|
(Computer modeling and simulation)
|
|
Corresponding Authors:
H. Ez-Zahraouy
E-mail: ezahamid@fsr.ac.ma
|
Cite this article:
K. Bentaleb, K. Jetto, H. Ez-Zahraouy, A. Benyoussef A cellular automata traffic flow modeling of desired speed variability 2013 Chin. Phys. B 22 018902
|
[1] |
Chowdhury D and Nishinari K 2011 Stochastic Transport in Complex Systems from Molecules to Vehicles (Elsevier)
|
[2] |
Klar A and Wegener R 2000 Transport Theory and Statistical Physics 29 479
|
[3] |
Blue V, Bonetto F and Embrechts M 1996 Transportation Research Board Annual Meeting (Washington, DC)
|
[4] |
Nagel K 1996 Phys. Rev. E 3 4655
|
[5] |
Schadschneider A and Schreckenberg M 1993 J. Phys. A 26 679
|
[6] |
Villar L and de Souza A 1994 Physica A 211 84
|
[7] |
Ding J X, Huang H J and Tian Q 2011 Chin. Phys. B 20
|
[8] |
Qian Y S, Shi P J, Zeng Q, Ma C X, Lin F, Sun P and Yin X T 2009 Chin. Phys. B 18 4037
|
[9] |
Qian Y S, Shi P J, Zeng Q, Ma C X, Lin F, Sun P and Wang H L 2010 Chin. Phys. B 19 048201
|
[10] |
Lu W Z, He H D and Dong L Y 2011 Chin. Phys. B 20 040514
|
[11] |
Rawat K 2012 International Journal of Vehicular Technology 2012 1
|
[12] |
Nagel K and Schreckenberg M 1992 J. Phys. I 2
|
[13] |
Ez-Zahraouy H, Jetto K and Benyoussef A 2004 Eur. Phys. J. B 40 111
|
[14] |
Ez-Zahraouy H, Jetto K and Benyoussef A 2006 Chin. J. Phys. 44 486
|
[15] |
Lipshtat A 2009 Phys. Rev. E 79 066110
|
[16] |
Jetto K, Ez-Zahraouy H and Benyoussef A 2010 Int. J. Mod. Phys. C 21 1311
|
[17] |
Ben-Naim E and Krapivsky P L 1997 Phys. Rev. E 56 6680
|
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
|
|
|