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A simple stochastic cellular automaton for synchronized traffic flow

机译:用于同步交通流的简单随机蜂窝自动机

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摘要

We present a very simple stochastic traffic cellular automaton (CA) model to reproduce synchronized traffic. This model aims to be nearly as simple as the wellknown Nagel-Schreckenberg model, but to overcome to shortcomings of the latter: The Nagel-Schreckenberg model (NaSch) and its variants achieve collision-free driving by explicitly allowing for unlimited braking capabilities. However, it is rather natural to view the collision-free traffic flow as a consequence of moderate driving instead of infinite braking capabilities. Therefore, our new CA model limits the vehicles' acceleration and deceleration rates to realistic values. Moreover, our model is able to reproduce several important features of synchronized traffic flow. Earlier models achieve identical goals only by using relatively complicated rules of motion. Our model, however, introduces slight modifications of the easily comprehensible NaSch. These modifications lead to very stable states where all vehicles tend to synchronize their speed. Even though, or perhaps precisely because, the states of synchronized flow are stable in our model, it allows to study several features of this traffic phase in great detail.
机译:我们提出了一个非常简单的随机交通蜂窝自动机(CA)模型来重现同步交通。该模型的目标几乎与众所周知的Nagel-Schreckenberg模型一样简单,但是要克服后者的缺点:Nagel-Schreckenberg模型(NaSch)及其变体通过明确允许无限的制动能力来实现无碰撞驾驶。但是,很自然地将无碰撞交通流视为适度驾驶而不是无限制动能力的结果。因此,我们的新CA模型将车辆的加速和减速率限制为实际值。此外,我们的模型能够重现同步流量的几个重要特征。早期的模型仅通过使用相对复杂的运动规则即可达到相同的目标。但是,我们的模型对易于理解的NaSch进行了一些修改。这些修改会导致非常稳定的状态,在此状态下所有车辆都趋向于同步其速度。即使(或者正好因为)同步流的状态在我们的模型中是稳定的,它也允许详细研究此流量阶段的多个特征。

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