First order phase transition from free flow to synchronized flow in a cellular automata model

被引：0
|
作者：
R. Jiang
Q-S. Wu
机构：
[1] School of Engineering Science,
[2] University of Science and Technology of China,undefined
来源：
The European Physical Journal B - Condensed Matter and Complex Systems | 2005年 / 46卷
关键词：
Neural Network; Phase Transition; Correlation Function; Autocorrelation; Cross Correlation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents an improved cellular automata model, which is based on three phase traffic theory and can reproduce the first order phase transition from free flow to synchronized flow. The fundamental diagram, the spacetime plots, and the 1-min average flux density diagram are presented. The autocorrelation and cross correlation functions are studied to identity the synchronized flow state. It is shown that the results of the model are well consistent with the empirical findings.
引用
收藏
页码：581 / 584
页数：3
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