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A macroscopic traffic model based on transition velocities
Journal of Computational Science ( IF 3.1 ) Pub Date : 2020-04-27 , DOI: 10.1016/j.jocs.2020.101131
Zawar H. Khan , T. Aaron Gulliver

In this paper, a new traffic model is presented which characterizes spatial changes in traffic density to smoothly align the traffic flow with forward conditions. This alignment is a function of the difference in velocities so there is no change in flow when the velocities are the same. The commonly employed Payne-Witham (PW) model aligns traffic with a constant speed (velocity) regardless of the transitions on a road. Thus, the distance covered during alignment and driver behavior are ignored. As a consequence, the resulting speeds can exceed the maximum or go below zero. With the proposed model, the speed during alignment is a function of the traffic density. In particular, traffic adapts quicker for a smaller forward density and vice versa. Results are presented for discontinuous traffic densities caused by a bottleneck along both straight and circular roads which show that this model provides more realistic behavior than the PW and Zhang models.



中文翻译:

基于过渡速度的宏观交通模型

在本文中,提出了一种新的交通模型,该模型可表征交通密度的空间变化,以使交通流量与前进条件平稳地对齐。该对准是速度差异的函数,因此,当速度相同时,流量不会发生变化。常用的Payne-Witham(PW)模型使交通以恒定速度(速度)对齐,而不管道路上的过渡路况如何。因此,在对准过程中覆盖的距离和驱动器行为将被忽略。结果,结果速度可能超过最大值或低于零。使用所提出的模型,对准期间的速度是交通密度的函数。尤其是,流量可以更快地适应较小的前向密度,反之亦然。

更新日期:2020-04-27
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