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Cellular automaton model based on fuzzy control rule
基于模糊控制规则的元胞自动机模型

Keywords: traffic flow,cellular automaton,fuzzy control,randomization deceleration probability
交通流
,元胞自动机,模糊控制,随机慢化概率

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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.

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