We present a microscopic driving algorithm that prescribes the acceleration using three parameters: the distance to the leading vehicle, to the next traffic light and to the nearest stopping point when the next traffic light is in the red phase. We apply this algorithm to construct decision trees that enable two driving behaviors: aggressive and careful. The focus of this study is to analyze the amount of aggressive drivers that are needed in order to generate a traffic gridlock in a portion of a city with signalized intersections. At rush hour, aggressive drivers will enter the intersection regardless if they have enough time or space to clear it. When their traffic light changes they block other drivers, thus providing the conditions for a gridlock to develop. We find that gridlocks emerge even with very few aggressive drivers present. These results support the idea of promoting good driving behavior to avoid heavy congestion during rush hours.

中文翻译：

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驾驶员行为对交通堵塞出现的影响

我们提出了一种微观驾驶算法，该算法使用三个参数来规定加速度：到前车的距离、到下一个红绿灯的距离以及下一个红绿灯处于红色阶段时到最近的停车点的距离。我们应用该算法来构建支持两种驾驶行为的决策树：激进和谨慎。本研究的重点是分析在具有信号交叉口的城市的一部分中产生交通拥堵所需的激进驾驶员的数量。在高峰时间，激进的司机会进入交叉路口，无论他们是否有足够的时间或空间来清理它。当他们的红绿灯改变时，他们会阻止其他司机，从而为交通堵塞的发展提供条件。我们发现，即使在场的激进司机很少，也会出现僵局。