Adaptive Cellular Automata Traffic System Model Based on Hybrid System Theory

被引:0
作者
Xu, Yuge [1 ]
Luo, Fei [1 ]
Tian, Xiaodan [1 ]
机构
[1] S China Univ Technol, Automat Sci & Engn Coll, Guangzhou 510640, Guangdong, Peoples R China
来源
INTELLIGENT ROBOTICS AND APPLICATIONS, PROCEEDINGS | 2009年 / 5928卷
关键词
Micro traffic system; hybrid system; cellular automata; NaSch traffic model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traffic system model with multiple lanes switch behaviors is very complex. In order to study the nonlinear and strongly relevant micro traffic system, this paper applied hybrid system theory into micro traffic system model. One novel cellular automata NaSch traffic model based on hybrid system is built up. The traffic flow made up of lots of cars is a hybrid system. The driving behaviors of cars are continuous but the events that affect the cars speed are certainly or randomly discrete events. This paper analyzes the effect of driver switch behaviors to the whole traffic flow. The proposed novel traffic model is simple and easy to expand. This model can simulate the traffic states in the different traffic conditions correctly especially in some complex multiple lanes conditions. Simulation results tell us the presented adaptive traffic system model is correct and effective.
引用
收藏
页码:994 / 1003
页数:10
相关论文
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