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在Nagel-Schreckenberg一维单车道元胞自动机模型(简称NS模型)和Green Shield速度-密度线性关系模型的基础上,建立了一种考虑驾驶速度受车流密度影响的一维元胞自动机交通流模型。该模型根据车流密度的实时变化,能够自适应地判断道路是否处于拥堵状态,针对拥堵状态和非拥堵状态提出了两种不同的速度更新规则,使车辆在道路通畅时高速行驶,拥堵时低速平缓行驶。通过matlab编程实现车辆时空图模拟,结果表明,该模型再现了自由流、“时走时停”波、拥堵扩散现象,与NS模型、近似考虑前车速度效应的模型(简称VE模型)相比,该模型在拥堵状态和非拥堵状态的平均车流速度以及交通流量较高,说明该模型有利于提升行车速度,减缓道路交通拥堵。
Based on the Nagel-Schreckenberg one-dimensional one-dimensional cellular automaton model (NS model) and the Green Shield velocity-density linear relationship model, a one-dimensional cellular automata traffic model considering driving speed influenced by traffic flow density Flow model. According to the real-time traffic density change, the model can adaptively determine whether the road is in a congested state. Two different speed update rules are proposed for the congestion state and the non-congestion state, which make the vehicle run at high speed when the road is open, Driving. The results show that this model reproduces the phenomenon of free flow, “go and stop” waves and congestion and diffusion. Compared with the NS model, the model (VE model) Compared with the model, the average traffic speed and the traffic volume of the model in the congestion state and the non-congestion state are higher, which shows that the model is helpful to improve the traffic speed and reduce the traffic congestion.