On the characteristics of phase transition in CA traffic models

被引:8
作者
Guo Si-Ling [1 ]
Wei Yan-Fang
Xue Yu
机构
[1] Guangxi Univ, Inst Phys Sci & Engn, Nanning 530004, Peoples R China
[2] Shanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
[3] Guangxi Yulin Normal Univ, Dept Phys & Informat Sci, Yulin 537000, Peoples R China
关键词
traffic flow; cellular automaton; correlation functions; order parameters;
D O I
10.7498/aps.55.3336
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, the correlation functions in the CA (cellular automaton) traffic models incorporating the 'slow-to-start' rule, such as VDR model, BJH model and T-2 model, are systematically studied at different traffic densities. The results show that there are anti-correlations and correlations between cars at low density. When anti-correlation disappears with the increases of density, it means the transition from free flow to jamming. In order to study the characteristics of phase transition, we study the order parameters of these models with the delay probability and slow-to-start probability. We found that the CA traffic model with 'slow-to-start' rule will change the characteristics of phase transition. Independently of the delay probability and in the case of less than maximal velocity, the transition from free flow to jamming in the CA model with slow-to-start probability not exceeding 0.5 is the second phase transition, which has an analogy to one in the deterministic NaSch model. Otherwise, the first phase transition will appear. Under conditions of stochastic delay, the crossover phenomena will occur. When the limiting velocity has larger values, it will show the first phase transition in spite of the delay probability.
引用
收藏
页码:3336 / 3342
页数:7
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