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A cellular automata traffic flow modeling of desired speed variability

A cellular automata traffic flow modeling of desired speed variability

作     者:K. Bentaleb K. Jetto H. Ez-Zahraouy A. Benyoussef 

作者机构:Laboratoire de Magnétisme et de Physique des Hautes Energies associéau CNRST (URAC 12) Département de physique B.P. 1014 Facultédes sciences Université Mohammed V Agdal Rabat Morocco Ecole Hassania des Travaux Publics Km 7 Route d'El Jadida BP8108 Oasis Casablanca Morocco Institute of Nanomaterials and Nanotechnologies INANOTECH MACsIR Rabat Morocco Hassan II Academy of Science and Technology Rabat Morocco 

出 版 物:《Chinese Physics B》 (中国物理B(英文版))

年 卷 期:2013年第22卷第1期

页      面:574-577页

核心收录:

学科分类:07[理学] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 070102[理学-计算数学] 0704[理学-天文学] 082302[工学-交通信息工程及控制] 0701[理学-数学] 0823[工学-交通运输工程] 

主  题:traffic celluar automata satisfaction coefficient desired speed 

摘      要:The satisfaction rate of desired velocity in the case of a mixture of fast and slow vehicles is studied by using a 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 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.

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