Analysis of LWR model with fundamental diagram subject to uncertainties

Jia Li, Qian-Yong Chen, Haizhong Wang, Daiheng Ni
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引用次数: 72

Abstract

The LWR model is of interest since it is simple and can successfully reproduce some essential features of traffic flow, such as the formation and propagation of traffic disturbances. In this article, we investigate the LWR model from an uncertainty perspective. We attempt to analyse how reliable the LWR model prediction will be if the fundamental diagram (FD) in use is not accurately specified. To fulfil this end, we postulate a flux function (equivalently a FD) driven by a random free flow speed, which accommodates the uncertain feature observed in the speed–density data. We provide essential mathematical properties and solution schemes of the LWR model with the probabilistic FD. In case studies, the approach to evaluate the uncertainty of traffic disturbance propagation with this model is presented. We find that if FD in a LWR model cannot be perfectly specified, the uncertainty associated with the location of a traffic disturbance would increase over time. In contrast, the magnitude of the traffic disturbance can still be accurately predicted.
具有不确定基本图的低水循环模型分析
LWR模型很有趣,因为它很简单,并且可以成功地再现交通流的一些基本特征,例如交通干扰的形成和传播。在本文中,我们从不确定性的角度来研究LWR模型。我们试图分析如果使用的基本图(FD)没有准确指定,LWR模型预测的可靠性如何。为了实现这一目的,我们假设一个由随机自由流速度驱动的通量函数(相当于FD),它容纳了在速度-密度数据中观察到的不确定性特征。我们用概率FD给出了LWR模型的基本数学性质和求解方案。通过实例分析,给出了用该模型评估交通干扰传播不确定性的方法。我们发现,如果LWR模型中的FD不能完全指定,则与交通干扰位置相关的不确定性将随着时间的推移而增加。相比之下,交通干扰的大小仍然可以准确地预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transportmetrica
Transportmetrica 工程技术-运输科技
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