Deterministic Models for Traffic Jams
Kai Nagel, Hans J. Herrmann

TL;DR
This paper investigates deterministic one-dimensional traffic models, revealing phase transitions in discrete cases and self-organized criticality in continuous cases, enhancing understanding of traffic flow dynamics.
Contribution
Introduces a unified analysis of deterministic traffic models, highlighting phase transitions and criticality depending on variable discretization.
Findings
Discrete models exhibit high and low density phases with a clear transition.
Continuous models demonstrate self-organized criticality influenced by the slowest vehicle.
The study provides insights into traffic flow behavior under different modeling assumptions.
Abstract
We study several deterministic one-dimensional traffic models. For integer positions and velocities we find the typical high and low density phases separated by a simple transition. If positions and velocities are continuous variables the model shows self-organized criticality driven by the slowest car.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
