Second-order multilane traffic flow models: from the microscopic to the macroscopic scale

Fuente: arXiv
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Main Authors: Piu, Matteo, Visconti, Giuseppe, Puppo, Gabriella
Format: Preprint
Published: 2025
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author Piu, Matteo
Visconti, Giuseppe
Puppo, Gabriella
author_facet Piu, Matteo
Visconti, Giuseppe
Puppo, Gabriella
contents This study addresses multilane vehicular traffic modelling, focusing on the transition between microscopic (individual vehicle-based) to macroscopic (aggregate flow-based) descriptions. While previous research on multilane traffic has largely focused on first-order models, we derive two new multilane second-order macroscopic models by applying a microscopic-to-macroscopic limit to the multilane Bando-Follow-the-Leader model. The resulting models incorporate lane-changing through source terms in a hyperbolic system of balance laws. We propose several numerical experiments showing that the models can reproduce complex traffic phenomena, including congestion propagation, non-equilibrium effects, and asymmetric lane usage. Leveraging experimental datasets from real-world highways, we further construct lane-specific empirical fundamental diagrams and compare them with their simulated counterparts, showing that our models can faithfully capture critical density values and characteristic lane-dependent patterns, thus offering a robust and generalizable tool for realistic traffic flow analysis
format Preprint
id arxiv_https___arxiv_org_abs_2509_06083
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Second-order multilane traffic flow models: from the microscopic to the macroscopic scale
Piu, Matteo
Visconti, Giuseppe
Puppo, Gabriella
Physics and Society
Analysis of PDEs
This study addresses multilane vehicular traffic modelling, focusing on the transition between microscopic (individual vehicle-based) to macroscopic (aggregate flow-based) descriptions. While previous research on multilane traffic has largely focused on first-order models, we derive two new multilane second-order macroscopic models by applying a microscopic-to-macroscopic limit to the multilane Bando-Follow-the-Leader model. The resulting models incorporate lane-changing through source terms in a hyperbolic system of balance laws. We propose several numerical experiments showing that the models can reproduce complex traffic phenomena, including congestion propagation, non-equilibrium effects, and asymmetric lane usage. Leveraging experimental datasets from real-world highways, we further construct lane-specific empirical fundamental diagrams and compare them with their simulated counterparts, showing that our models can faithfully capture critical density values and characteristic lane-dependent patterns, thus offering a robust and generalizable tool for realistic traffic flow analysis
title Second-order multilane traffic flow models: from the microscopic to the macroscopic scale
topic Physics and Society
Analysis of PDEs
url https://arxiv.org/abs/2509.06083