A multi-class non-local macroscopic model with time delay for mixed autonomous / human-driven traffic

Fuente: arXiv
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Hauptverfasser: Ciaramaglia, Ilaria, Goatin, Paola, Puppo, Gabriella
Format: Preprint
Veröffentlicht: 2025
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author Ciaramaglia, Ilaria
Goatin, Paola
Puppo, Gabriella
author_facet Ciaramaglia, Ilaria
Goatin, Paola
Puppo, Gabriella
contents In this paper, we present a class of systems of non-local conservation laws in one space-dimension incorporating time delay, which can be used to investigate the interaction between autonomous and human-driven vehicles, each characterized by a different reaction time and interaction range. We construct approximate solutions using a Hilliges-Weidlich scheme and we provide uniform L $\infty$ and BV estimates which ensure the convergence of the scheme, thus obtaining existence of entropy weak solutions of bounded variation. Uniqueness follows from an L 1 stability result derived from the entropy condition. Additionally, we provide numerical simulations to illustrate applications to mixed autonomous / human-driven traffic flow modeling. In particular, we show that the presence of autonomous vehicles improves overall traffic flow and stability.
format Preprint
id arxiv_https___arxiv_org_abs_2501_09440
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A multi-class non-local macroscopic model with time delay for mixed autonomous / human-driven traffic
Ciaramaglia, Ilaria
Goatin, Paola
Puppo, Gabriella
Analysis of PDEs
Numerical Analysis
In this paper, we present a class of systems of non-local conservation laws in one space-dimension incorporating time delay, which can be used to investigate the interaction between autonomous and human-driven vehicles, each characterized by a different reaction time and interaction range. We construct approximate solutions using a Hilliges-Weidlich scheme and we provide uniform L $\infty$ and BV estimates which ensure the convergence of the scheme, thus obtaining existence of entropy weak solutions of bounded variation. Uniqueness follows from an L 1 stability result derived from the entropy condition. Additionally, we provide numerical simulations to illustrate applications to mixed autonomous / human-driven traffic flow modeling. In particular, we show that the presence of autonomous vehicles improves overall traffic flow and stability.
title A multi-class non-local macroscopic model with time delay for mixed autonomous / human-driven traffic
topic Analysis of PDEs
Numerical Analysis
url https://arxiv.org/abs/2501.09440