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在一维元胞自动机交通流SDNS模型的基础上,建立了基于选择性随机减速的元胞自动机模型(Select-CA模型).驾驶员可根据与前车的间距变化选择不同的随机减速方式,并定义了不同随机减速方式的选择条件.通过计算机数值模拟发现,当减速方式可变时,模型模拟得到的交通流流量较大,且流量、速度和车辆比例与随机减速概率密切相关.与SDNS模型相比,Select-CA模型减少了车流的阻塞现象,提高了道路的通行能力.
Based on the SDNS model of one-dimensional cellular automata traffic, a cellular automata model (Select-CA model) based on selective random deceleration is established. The driver can choose different random deceleration according to the distance to the front car And the selection conditions of different stochastic deceleration modes are defined.The numerical simulation results show that when the decelerating mode is variable, the traffic flow of the model is large, and the flow rate, speed and vehicle proportion are closely related to the stochastic deceleration probability. Compared with the SDNS model, the Select-CA model reduces traffic jam and improves traffic capacity.