Relaxation and stability analysis of a third-order multiclass traffic flow model*

Traffic flow modeling spans a wide range of mathematical approaches, from microscopic descriptions of individual vehicle dynamics to macroscopic models based on aggregate quantities. A fundamental challenge in macroscopic modeling lies in the closure relations, particularly in the specification of a traffic hesitation function in second-order models like Aw-Rascle-Zhang. In this work, we propose a third-order hyperbolic traffic model in which the hesitation evolves as a driver-dependent dynamic quantity. Starting from a microscopic formulation, we relax the standard assumption by introducing an evolution law for the hesitation. This extension allows to incorporate hysteresis effects, modeling the fact that drivers respond differently when accelerating or decelerating, even under identical local traffic conditions. Furthermore, various relaxation terms are introduced. These allow us to establish relations to the Aw-Rascle-Zhang model and other traffic flow models.

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Publication Details

Journal
Communications in Mathematical Sciences
Published
2026-01-01
DOI
https://doi.org/10.4310/cms.260326185636
Primary Topic
Traffic control and management
Type
article
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article

Relaxation and stability analysis of a third-order multiclass traffic flow model*

Stephan Gerster, Giuseppe Visconti
Communications in Mathematical Sciences
Traffic control and management
article

Relaxation and stability analysis of a third-order multiclass traffic flow model*

Stephan Gerster, Giuseppe Visconti
article en

Abstract

Traffic flow modeling spans a wide range of mathematical approaches, from microscopic descriptions of individual vehicle dynamics to macroscopic models based on aggregate quantities. A fundamental challenge in macroscopic modeling lies in the closure relations, particularly in the specification of a traffic hesitation function in second-order models like Aw-Rascle-Zhang. In this work, we propose a third-order hyperbolic traffic model in which the hesitation evolves as a driver-dependent dynamic quantity. Starting from a microscopic formulation, we relax the standard assumption by introducing an evolution law for the hesitation. This extension allows to incorporate hysteresis effects, modeling the fact that drivers respond differently when accelerating or decelerating, even under identical local traffic conditions. Furthermore, various relaxation terms are introduced. These allow us to establish relations to the Aw-Rascle-Zhang model and other traffic flow models.

Communications in Mathematical SciencesVol. 24(4)
Sapienza University of Rome (IT)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Traffic control and management
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