A hybrid numerical method for a microscopic and macroscopic traffic flow model
Yuanhong Wu, Shuzhi Liu, and Qinglong Zhang

TL;DR
This paper presents a hybrid numerical approach combining microscopic and macroscopic traffic flow models, reformulating the ARZ model to incorporate realistic fundamental diagrams and validating it through simulations.
Contribution
It introduces a novel hybrid numerical method for traffic modeling that integrates microscopic and macroscopic perspectives with a reformulated ARZ model.
Findings
Successful reformulation of ARZ model with realistic diagrams
Validation through Riemann problem solutions
Effective numerical simulations in 1D and 2D cases
Abstract
In this paper, we introduce a traffic flow model based on a microscopic follow-the-leader model, while enforcing maximal constraints on the density and velocity of the flow. The related macroscopic model can be represented in conservative formulation. By introducing an advected variable up with the flow, where p is the velocity offset, and u is the relative velocity, we reformulate the classical Aw-Rascle-Zhang (ARZ) model and the modified Aw-Rascle model to describe a realistic fundamental diagrams. The elementary waves are derived, and the Riemann problem is solved to validate the model's theoretical consistency. We further extend to a two-dimensional model. Numerical simulations are given for both one-and two-dimensional case by using the hybrid Godunov-Glimm scheme to verify the model's performance.
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Taxonomy
TopicsTraffic control and management · Network Traffic and Congestion Control · Evacuation and Crowd Dynamics
