Abstract: A cellular automaton model for one-lane highway traffic was proposed in this 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.

Key words: traffic flow, cellular automaton, fuzzy control, randomization deceleration probability

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。

关键词: 交通流, 元胞自动机, 模糊控制, 随机慢化概率