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October 12, 2025Open Access

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

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Authors

MPMatteo PiuGVGiuseppe ViscontiGPGabriella Puppo

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Overview

This study demonstrates second-order models capturing congestion and lane-changing in multilane traffic, suggesting robust simulation potential.

Key Points

  • The study reveals second-order multilane models effectively capture traffic congestion and lane dynamics.
  • It establishes that these models match key traffic patterns and density values from real highway data.
  • Numerical experiments illustrate the models' ability to represent complex traffic phenomena like congestion propagation.
  • The methodology includes deriving models from microscopic foundations, aimed at improving traffic flow analysis.

Cite This Study

Piu et al. (2025) studied this question.

synapsesocial.com/papers/68ebffcfdef9fcb308ff2630https://doi.org/10.48550/arxiv.2509.06083
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