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Mesoscopic simulation of a dynamic link loading process

机译:动态链接加载过程的介观模拟

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Passing from path flows to link flows requires non-linear and complex flow propagation models known as network loading models. In specific technical literature, different approaches have been used to study Dynamic Network Loading models, depending on whether the link performances are expressed in an aggregate or disaggregate way, and how vehicles are traced. When vehicle movements are traced implicitly and link performances are expressed in an aggregate way, the approach is macroscopic. When vehicle movements are traced explicitly, two cases are possible, depending on whether link performances are expressed in a disaggregate or aggregate way. In the first case, the approach is microscopic, otherwise it is mesoscopic.rnIn this paper, a mesoscopic Dynamic Network Loading model is considered, based on discrete packets and taking into account the vehicle acceleration and deceleration. A simulation was carried out, first using theoretical input data to simulate over-saturation condition, and then real data to validate the model. The results show that the model appears realistic in the representation of outflow dynamics and is quite easy to calculate. It is worth noting that network loading models are usually used downstream of the assignment models from which they take path flows to calculate link flows. In the above mentioned simulation, we assumed that a generic assignment model provides sinusoidal path flow.
机译:从路径流传递到链接流需要非线性和复杂的流传播模型,称为网络负载模型。在特定的技术文献中,取决于链接性能是以聚合还是非分类的方式表示以及如何跟踪车辆,已经使用了不同的方法来研究动态网络负载模型。当隐式跟踪车辆运动并以汇总方式表示链接性能时,该方法是宏观的。明确跟踪车辆运动时,有两种情况是可能的,具体取决于链路性能是以分解形式还是集合形式表示。在第一种情况下,该方法是微观的,否则是介观的。在本文中,基于离散数据包并考虑了车辆的加速和减速,考虑了介观的动态网络加载模型。进行了模拟,首先使用理论输入数据模拟过饱和条件,然后使用实际数据对模型进行验证。结果表明,该模型在流出动力学的表示中显得很现实,并且很容易计算。值得注意的是,网络负载模型通常在分配模型的下游使用,它们从中获取路径流以计算链路流。在上面提到的模拟中,我们假设通用分配模型提供了正弦路径流。

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