Multiscale Control of Generic Second Order Traffic Models by Driver-Assist Vehicles
Multiscale Control of Generic Second Order Traffic Models by Driver-Assist Vehicles
复制标题
驾驶员辅助车辆对通用二阶交通模型的多尺度控制
DOI:
10.1137/20m1360128
复制
发表时间:
2021
影响因子:
1.6
通讯作者:
Tosin, Andrea
中科院分区:
文献类型:
--
作者:
Chiarello, Felisia Angela;Piccoli, Benedetto;Tosin, Andrea
We study the derivation of generic high order macroscopic traffic models from a follow-the-leader particle description via a kinetic approach. First, we recover a third order traffic model as the hydrodynamic limit of an Enskog-type kinetic equation. Next, we introduce in the vehicle interactions a binary control modeling the automatic feedback provided by driver-assist vehicles and we upscale such a new particle description by means of another Enskog-based hydrodynamic limit. The resulting macroscopic model is now a generic second order model (GSOM), which contains in turn a control term inherited from the microscopic interactions. We show that such a control may be chosen so as to optimize global traffic trends, such as the vehicle flux or the road congestion, constrained by the GSOM dynamics. By means of numerical simulations, we investigate the effect of this control hierarchy in some specific case studies, which exemplify the multiscale path from the vehiclewise implementation of a driver-assist control to its optimal hydrodynamic design.
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