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February 5, 20260 citations

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

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JAJulia AckermannMEM. EhrhardtTKThomas Kruse

Key Points

  • The aim is to develop a car-following model that incorporates stochastic dynamics and control mechanisms.
  • Derived stability conditions and behavior of a port-Hamiltonian system
  • Used spectral analysis and asymptotic properties of multivariate Ornstein-Uhlenbeck processes
  • Implemented open-loop and closed-loop control strategies
  • Illustrated findings with numerical simulations
  • Uncontrolled dynamics were unstable under stochastic perturbations
  • Open-loop speed control stabilized the system and allowed convergence to Gaussian distributions
  • Closed-loop control provided a stability condition based on distance ahead
  • Only the closed-loop system demonstrated realistic stop-and-go behavior transiently.

Abstract

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.

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Cite This Study

Ackermann et al. (2025) studied this question.

synapsesocial.com/papers/698434f9f1d9ada3c1fb3cb2https://doi.org/10.1051/epjconf/202533403009/pdf
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