用于模拟单车道交通流的改进NS元胞自动机模型

Improved NS cellular automaton model for simulating traffic flows of one-lane

研究改进了基于元胞自动机的一维NS交通模型,细化了元胞长度和时间步长,对静止车辆的加速能力进行了约束,用简单的方法解决了该模型中车辆的速度演化规则与前车速度无关的缺点。同时,考虑了交通密度对随机慢化概率的影响。计算机仿真表明:改进模型不仅得到了一些与其他元胞自动机模型共有的性质,且得到的基本图更加接近实测数据。

We improved the Nagel-Schreckenberg （NS） cellular automaton model for one-lane traffic flows. A cellular of NS model was divided into two, so did the time step. On the other hand, that the acceleration ability of a stock - still car was weaker than that of the running one was considered. Furthermore, the relationship between randomization deceleration probability and the traffic density was taken into account. By computer simulations, some basic qualitative results and the fundamental diagram of the proposed model were obtained. Compared with other models, the fundamental diagram of the proposed model is more realistic.