在Nagel-Schreckenberg交通流模型基础上,通过局域密度及当前车速两个参数来实现对减速概率的控制,同时考虑规则的不同运作次序可能会对系统的演化产生非凡的影响,提出一个改进的一维元胞自动机交通流模型,并进行数值模拟,将模拟结果与实测数据进行比较.结果显示,适当调节系统的相关参数,可以实现畅行相→低速同步相→宽幅运动阻塞相的转变.从系统中可以发现同步流和相分离的存在,弥补了Nagel-Schreckenberg交通流模型无法实现大尺度同步流的缺陷.
Based on the Nagel-Schreckenberg traffic flow model, an improved cellular automaton traffic flow model is developed by introduction of local density and current velocity to control stochastic slowdown probability. At the same time ,it was considered that different evolution order will result in extraordinary effects for the system evolution. It was showed from numerical simulation that the transition from free flow to synchronized traffic flow to wide moving traffic flow can be realized via proper modification of the relevant parameters.