The time fractional order derivative for multi-class AR model

Fuente: arXiv
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Autores principales: Nanyondo, Josephine, Mugisha, Joseph Y. T., Kasumba, Henry
Formato: Preprint
Publicado: 2024
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author Nanyondo, Josephine
Mugisha, Joseph Y. T.
Kasumba, Henry
author_facet Nanyondo, Josephine
Mugisha, Joseph Y. T.
Kasumba, Henry
contents In this paper, a multi-class Aw-Rascle \textrm{(AR)} model with time fractional order derivative is presented. The conservative form of the proposed model is considered for the natural extension and generalization of equations involved. The fractional order derivative involved in the model equations is computed by applying the Caputo fractional derivative definition. An explicit difference scheme is obtained through finite difference method of discretization. The scheme is shown to be consistent, conditionally stable and convergent. Numerical flux is computed by original Roe decomposition and an entropy condition applied to the Roe decomposition. From numerical results, the effect of fractional-order derivative of time, on the traffic flow of vehicle classes is determined. Results obtained from the proposed model remain within limits therefore, they are realistic.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09888
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The time fractional order derivative for multi-class AR model
Nanyondo, Josephine
Mugisha, Joseph Y. T.
Kasumba, Henry
Analysis of PDEs
In this paper, a multi-class Aw-Rascle \textrm{(AR)} model with time fractional order derivative is presented. The conservative form of the proposed model is considered for the natural extension and generalization of equations involved. The fractional order derivative involved in the model equations is computed by applying the Caputo fractional derivative definition. An explicit difference scheme is obtained through finite difference method of discretization. The scheme is shown to be consistent, conditionally stable and convergent. Numerical flux is computed by original Roe decomposition and an entropy condition applied to the Roe decomposition. From numerical results, the effect of fractional-order derivative of time, on the traffic flow of vehicle classes is determined. Results obtained from the proposed model remain within limits therefore, they are realistic.
title The time fractional order derivative for multi-class AR model
topic Analysis of PDEs
url https://arxiv.org/abs/2405.09888