基于模糊控制规则的元胞自动机模型  

Cellular automaton model based on fuzzy control rule

作　　者：龚永罡[1] 陈涛[2] 

机构地区：[1]北京工商大学信息工程学院,北京100037 [2]北京交通大学交通运输学院,北京100044

出　　处：《计算机应用》2008年第9期2366-2368,共3页journal of Computer Applications

摘　　要：针对单车道道路交通流提出了一种新的基于模糊控制规则的元胞自动机模型。与NaSch模型不同,新模型中的随机慢化概率是根据模糊控制规则计算得来的。在新模型的模糊控制规则中,将当前车辆的车间距以及其与前车的速度差作为输入因素,经过模糊推理从而计算出当前车辆本时间步的随机慢化概率。经过计算机仿真发现,新模型的基本图和时空图较好地重现了现实道路交通流中的某些宏观特性,如时走时停波、回滞以及亚稳态等现象。A cellular automaton model for one-lane highway traffic was proposed inthis paper. Based on the classical NS model, the randomization parameter of a vehicle was calculated according to fuzzy control rules. Some basic qualitative results and the fundamental diagram of our new model were got through computer simulations. Compared with other existing single lane cellular automaton models, the experimental results show that our new model is able to reproduce some of the real macroscopic traffic characteristics such as hysteresis.

关 键 词：交通流 元胞自动机 模糊控制 随机慢化概率 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]