Vehicle Overacceleration -- A Fundamental Microscopic Mechanism for Traffic Breakdown Control Using Automated Vehicles and AI
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866916073761144832 |
|---|---|
| author | Kerner, Boris S. |
| author_facet | Kerner, Boris S. |
| contents | This review article addresses a fundamental controversial question in traffic theory: Is the nucleation character of traffic breakdown at a bottleneck governed by vehicle overdeceleration (overbraking) or by discontinuous vehicle acceleration, referred to as vehicle overacceleration. This question is of particular importance in the context of automated vehicles and AI, whose individual dynamic behavior can enable reliable strategies for traffic breakdown control in the future. We show that, in both human-driven and automated traffic flow, traffic breakdown is governed by vehicle overacceleration rather than vehicle overdeceleration. With this objective, in microscopic modeling we separate traffic breakdown caused by overacceleration from traffic instabilities caused by overdeceleration due to braking behavior, while following recent papers [Phys. Rev. E 108, 014302 (2023); 108, 064305 (2023); 112, 034309 (2025)]. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_31095 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Vehicle Overacceleration -- A Fundamental Microscopic Mechanism for Traffic Breakdown Control Using Automated Vehicles and AI Kerner, Boris S. Physics and Society This review article addresses a fundamental controversial question in traffic theory: Is the nucleation character of traffic breakdown at a bottleneck governed by vehicle overdeceleration (overbraking) or by discontinuous vehicle acceleration, referred to as vehicle overacceleration. This question is of particular importance in the context of automated vehicles and AI, whose individual dynamic behavior can enable reliable strategies for traffic breakdown control in the future. We show that, in both human-driven and automated traffic flow, traffic breakdown is governed by vehicle overacceleration rather than vehicle overdeceleration. With this objective, in microscopic modeling we separate traffic breakdown caused by overacceleration from traffic instabilities caused by overdeceleration due to braking behavior, while following recent papers [Phys. Rev. E 108, 014302 (2023); 108, 064305 (2023); 112, 034309 (2025)]. |
| title | Vehicle Overacceleration -- A Fundamental Microscopic Mechanism for Traffic Breakdown Control Using Automated Vehicles and AI |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2605.31095 |