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A stochastic approach to the flow-concentration curve in traffic flow theory

机译:交通流理论中流量-浓度曲线的一种随机方法

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摘要

An alternative stochastic model for the fundamental diagram of traffic flow with minimal number of parameters is proposed. The key features of the model lie in its “catastrophic” potential function as well as the stochastic nature, which makes it possible to describe the main features of the flow-concentration relation. In particular, the inverse-λ shape as well as the wide scattering of congested traffic data are both reproduced. In our model, the inverse-λ shape and the associated sudden jump of physical quantities arise due to the existence of two simultaneous stable traffic flow states and the scattering of the data, on the other hand, is attributed to the noise terms introduced in the stochastic differential equations. The model parameters are then calibrated and compared qualitatively with the data. It is shown that both the fundamental diagram and its variance are reasonably reproduced.
机译:针对参数最少的交通流基本图,提出了一种替代的随机模型。该模型的关键特征在于其“灾难性”的势函数以及随机性,这使得描述流量-浓度关系的主要特征成为可能。特别地,再现了反λ形状以及拥塞的交通数据的宽散射。在我们的模型中,由于同时存在两个稳定的交通流状态,因此出现了反λ形状以及相关的物理量突然跳变,另一方面,数据的散射归因于噪声中引入的噪声项。随机微分方程。然后对模型参数进行校准,并与数据进行定性比较。结果表明,基本图及其方差都得到了合理的再现。

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