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Nonlinear Optimal Velocity Car Following Dynamics (II): Rate of Convergence in the Presence of Fast Perturbation

  • University of Illinois
  • Department of Mathematics, University of Illinois at Urbana-Champaign

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

4 Citations (Scopus)

Résumé

Traffic flow models have been the subject of extensive studies for decades. The interest in these models is both as the result of their important applications as well as their complex behavior which makes them theoretically challenging. In this paper, an optimal velocity dynamical model is considered and analyzed. We consider a dynamical model in the presence of perturbation and show that not only such a perturbed system converges to an averaged problem, but also we can show its order of convergence. Such understanding is important from different aspects, and in particular, it shows how well we can approximate a perturbed system with its associated averaged problem.

langue originaleAnglais
titre2020 American Control Conference, ACC 2020
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages416-421
Nombre de pages6
ISBN (Electronique)9781538682661
Les DOIs
étatPublié - 1 juil. 2020
Modification externeOui
Evénement2020 American Control Conference, ACC 2020 - Virtual, Online, États-Unis
Durée: 1 juil. 2020 → 3 juil. 2020

Série de publications

NomProceedings of the American Control Conference
Volume2020-July
ISSN (imprimé)0743-1619

Une conférence

Une conférence2020 American Control Conference, ACC 2020
Pays/TerritoireÉtats-Unis
La villeVirtual, Online
période1/07/20 → 3/07/20

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