Traffic flow in a 1D cellular automaton model with open boundaries

被引:0
作者
Benyoussef, A
Boccara, N
Chakib, H
Ez-Zahraouy, H
机构
[1] Fac Sci Rabat, Dept Phys, Lab Magnetisme & Phys Hautes Energies, Rabat, Morocco
[2] Ctr Etud Saclay, SPEC, DRECAM, F-91191 Gif Sur Yvette, France
[3] Univ Illinois, Dept Phys, Chicago, IL 60607 USA
[4] Abdus Salam Int Ctr Theoret Phys, I-34100 Trieste, Italy
关键词
D O I
暂无
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We have studied the open boundary cellular automaton models for the highway one-line traffic flow by using the mean field approximation and simulations. Our contribution focuses on the effect of braking probability (P) and a maximum velocity (nu (max)) on the density, flow and average velocity of cars moving in the middle of the road. The phase diagram is presented for nu (max) = 1 and nu (max) > 1. The maximal flow phase does not occur for nu (max) > 1. in contrast with the case nu (max) = 1 where this phase appears for p not equal 0. The first-order transition arises at alpha = beta(alpha < beta) for nu (max) = 1 (nu (max) > 1), where alpha and beta denote, respectively, the inside rate and the outside rate. The mean field approximation gives a good results in comparison with simulations for nu (max) > 1, while for nu (max) = 1, the phase diagram obtained from the simulations is predicted by the mean field approximation when p --> 1.
引用
收藏
页码:428 / 440
页数:13
相关论文
共 50 条
  • [41] A cellular automaton traffic flow model for online-simulation of urban traffic
    Wahle, J
    Esser, J
    Neubert, L
    Schreckenberg, M
    CELLULAR AUTOMATA: RESEARCH TOWARDS INDUSTRY, 1998, : 185 - 193
  • [42] Two dimensional cellular automaton model of the mixed traffic flow for urban traffic
    Yang, Li
    Hu, Junhui
    Kong, Lingjiang
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 2082 - 2087
  • [43] The influence of nonmonotonic synchronized flow branch in a cellular automaton traffic flow model
    Jin, Cheng-Jie
    Wang, Wei
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (23-24) : 4184 - 4191
  • [44] Cellular automaton model for railway traffic
    Li, KP
    Gao, ZY
    Ning, B
    JOURNAL OF COMPUTATIONAL PHYSICS, 2005, 209 (01) : 179 - 192
  • [45] Cellular automaton model for bidirectional traffic
    Simon, PM
    Gutowitz, HA
    PHYSICAL REVIEW E, 1998, 57 (02): : 2441 - 2444
  • [46] Cellular automaton traffic flow model considering intelligent transportation system
    Ge, HX
    Zhu, HB
    Dai, SQ
    ACTA PHYSICA SINICA, 2005, 54 (10) : 4621 - 4626
  • [47] Coexisting phases and lattice dependence of a cellular automaton model for traffic flow
    D'Souza, RM
    PHYSICAL REVIEW E, 2005, 71 (06):
  • [48] Continuous Cellular Automaton Traffic Flow Model Based on PFV Strategy
    Peng Y.
    Sha X.-Y.
    Liu S.-J.
    Yu D.Z.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2019, 19 (03): : 75 - 80
  • [49] Congestions and spatiotemporal patterns in a cellular automaton model for mixed traffic flow
    Zhao, Xiao-Mei
    Jia, Bin
    Gao, Zi-You
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 7, PROCEEDINGS, 2008, : 425 - +
  • [50] Rule 184 fuzzy cellular automaton as a mathematical model for traffic flow
    Higashi, Kohei
    Satsuma, Junkichi
    Tokihiro, Tetsuji
    JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, 2021, 38 (02) : 579 - 609