Hydrodynamic Cucker-Smale model with time delay and obstacle avoidance

We study a hydrodynamic Cucker-Smale-type model incorporating both time delays and obstacle potentials. The model governs the evolution of velocity and density fields of the system, where delayed interactions drive alignment and obstacle potentials account for responses to obstacles or predators. We further extend the framework to two-species systems. To numerically solve the model, we design a high-order finite volume method based on a Lax–Friedrichs numerical flux with fifth-order weighted essentially non-oscillatory reconstruction and third-order Runge–Kutta time discretization, ensuring numerical stability and high-order accuracy. Numerical experiments confirm the stability and accuracy of the proposed scheme and illustrate how time delays and obstacle potentials, under specific communication kernels and initial conditions, affect the emergence of flocking or non-flocking behavior.

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Publication Details

Journal
Frontiers in Physics
Published
2025-10-17
DOI
https://doi.org/10.3389/fphy.2025.1657927
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.00

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article

Hydrodynamic Cucker-Smale model with time delay and obstacle avoidance

Yoichi Enatsu, Guanyu Zhou, Tingting Zheng
Frontiers in Physics
Nonlinear Dynamics and Pattern Formation
article

Hydrodynamic Cucker-Smale model with time delay and obstacle avoidance

Yoichi Enatsu, Guanyu Zhou, Tingting Zheng
article en

Abstract

We study a hydrodynamic Cucker-Smale-type model incorporating both time delays and obstacle potentials. The model governs the evolution of velocity and density fields of the system, where delayed interactions drive alignment and obstacle potentials account for responses to obstacles or predators. We further extend the framework to two-species systems. To numerically solve the model, we design a high-order finite volume method based on a Lax–Friedrichs numerical flux with fifth-order weighted essentially non-oscillatory reconstruction and third-order Runge–Kutta time discretization, ensuring numerical stability and high-order accuracy. Numerical experiments confirm the stability and accuracy of the proposed scheme and illustrate how time delays and obstacle potentials, under specific communication kernels and initial conditions, affect the emergence of flocking or non-flocking behavior.

Frontiers in PhysicsVol. 13
University of Electronic Science and Technology of China (CN), Eagle Industry (Japan) (JP)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, Japan Society for the Promotion of Science
Openalex Percentile: Top 65%
Nonlinear Dynamics and Pattern Formation
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Hydrodynamic Cucker-Smale model with time delay and obstacle avoidance — Yoichi Enatsu, Guanyu Zhou, et al. · Frontiers in Physics (2025) | TGRS Research Map | TGRS