Modelling car-following dynamics with stochastic input-state-output port-Hamiltonian systems

Fuente: arXiv
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Autores principales: Ackermann, Julia, Ehrhardt, Matthias, Kruse, Thomas, Tordeux, Antoine
Formato: Preprint
Publicado: 2025
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author Ackermann, Julia
Ehrhardt, Matthias
Kruse, Thomas
Tordeux, Antoine
author_facet Ackermann, Julia
Ehrhardt, Matthias
Kruse, Thomas
Tordeux, Antoine
contents In this contribution, we introduce a general class of car-following models with an input-state-output port-Hamiltonian structure. We derive stability conditions and long-term behavior of the finite system with periodic boundaries and quadratic interaction potential by spectral analysis and using asymptotic properties of multivariate Ornstein-Uhlenbeck processes. The uncontrolled dynamics exhibit instability and random collective behavior under stochastic perturbations. By implementing an open-loop speed control, the system stabilizes and weakly converges to Gaussian limit distributions. The convergence is unconditional for constant speed control. However, a stability condition arises for the closed-loop system where the speed control acts as a dynamic feedback depending on the distance ahead. The results are illustrated by numerical simulations. Interestingly, only the closed-loop system is able to reproduce, at least transiently, realistic stop-and-go behavior that can be resolved using the Hamiltonian component of the model.
format Preprint
id arxiv_https___arxiv_org_abs_2502_00370
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modelling car-following dynamics with stochastic input-state-output port-Hamiltonian systems
Ackermann, Julia
Ehrhardt, Matthias
Kruse, Thomas
Tordeux, Antoine
Dynamical Systems
76A30, 82C22, 60H10, 37H30
In this contribution, we introduce a general class of car-following models with an input-state-output port-Hamiltonian structure. We derive stability conditions and long-term behavior of the finite system with periodic boundaries and quadratic interaction potential by spectral analysis and using asymptotic properties of multivariate Ornstein-Uhlenbeck processes. The uncontrolled dynamics exhibit instability and random collective behavior under stochastic perturbations. By implementing an open-loop speed control, the system stabilizes and weakly converges to Gaussian limit distributions. The convergence is unconditional for constant speed control. However, a stability condition arises for the closed-loop system where the speed control acts as a dynamic feedback depending on the distance ahead. The results are illustrated by numerical simulations. Interestingly, only the closed-loop system is able to reproduce, at least transiently, realistic stop-and-go behavior that can be resolved using the Hamiltonian component of the model.
title Modelling car-following dynamics with stochastic input-state-output port-Hamiltonian systems
topic Dynamical Systems
76A30, 82C22, 60H10, 37H30
url https://arxiv.org/abs/2502.00370