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arXiv 2104.04150physics.soc-ph
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无控制交叉口相同自主车辆的紧急交叉策略

Emergent Crossing Regimes of Identical Autonomous Vehicles at an Uncontrolled Intersection

Karam Safarov, Thomas Kent, Eddie Wilson, Arthur Richards

摘要:

为了研究自动驾驶汽车(AV)对城市拥堵的影响,本研究着眼于它们在道路交叉口的性能。交叉口的性能已经研究了在一个范围内的交通密度使用一个简单的MATLAB模拟两个相交的1-D流的同质自动驾驶汽车。这缺乏更高级模拟的细节,但它可以快速识别基本行为。结果表明,在低、中、高密度下,杂交方式存在明显差异。此外,政权之间的过渡可以预测分析和他们的性能有关的基本模型的1-D交通流。这些发现有可能集中精力为新兴的自动驾驶汽车制定更好的决策规则。

英文摘要:

To investigate the impact of Autonomous Vehicles (AVs) on urban congestion, this study looks at their performance at road intersections. Intersection performance has been studied across a range of traffic densities using a simple MATLAB simulation of two intersecting 1-D flows of homogeneous automated vehicles. This lacks the detail of more advanced simulations, but it enables fast identification of fundamental behaviours. The results show that there are distinct crossing regimes at low, medium and high densities. Furthermore, the transitions between regimes can be predicted analytically and their performance related to the fundamental model of 1-D traffic flow. These findings have the potential to focus efforts on the development of improved decision-making rules for emerging AVs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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