本文改进了微观一维随机元胞自动机交通流模型（NS 模型）的控制规则，将NS 模型中的随机特性作为一个随机参量运用到宏观一阶连续交通流模型（LWR 模型）中，重新构建了LWR 模型的交通流基本图。在实测交通流数据基础上，应用NS 模型和引入随机参量的LWR 模型进行了计算机模拟和分析。关键词：NS 模型，LWR 模型，随机特性，交通流基本图，仿真ABSTRACT: The paper improves the control rules of a microcosmic stochastic traffic cellular automaton model (NS model) and incorporates the NS model’s stochasticity as a stochastic parameter in the construction of the fundamental diagram used by a macroscopic first-order continuum model (LWR model). Based on real traffic data and simulations, the paper gives a comparison and discussions of both models.Keywords: NS model, LWR model, stochasticity, fundamental diagram, simulation
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