arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2108.07589math.NAcs.NA
收藏

Uncertainty Quantification in Hierarchical Vehicular Flow Models

Michael Herty, Elisa Iacomini

英文摘要:

We consider kinetic vehicular traffic flow models of BGK type. Considering different spatial and temporal scales, those models allow to derive a hierarchy of traffic models including a hydrodynamic description. In this paper, the kinetic BGK-model is extended by introducing a parametric stochastic variable to describe possible uncertainty in traffic. The interplay of uncertainty with the given model hierarchy is studied in detail. Theoretical results on consistent formulations of the stochastic differential equations on the hydrodynamic level are given. The effect of the possibly negative diffusion in the stochastic hydrodynamic model is studied and numerical simulations of uncertain traffic situations are presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑