Particle hopping models and traffic flow theory
Kai Nagel (Los Alamos National Laboratory)

TL;DR
This paper explores the relationship between particle hopping models and fluid-dynamical traffic flow models, revealing exact connections and critical behaviors that enhance understanding of traffic jam dynamics.
Contribution
It establishes new perspectives by integrating particle hopping models into traffic flow theory, linking microscopic models with macroscopic fluid dynamics.
Findings
Exact connections between particle hopping and fluid-dynamical models
Critical behavior of traffic jams analogous to PDE instabilities
A unified view of traffic jam dynamics
Abstract
This paper shows how particle hopping models fit into the context of traffic flow theory. Connections between fluid-dynamical traffic flow models, which derive from the Navier-Stokes-equations, and particle hopping models are shown. In some cases, these connections are exact and have long been established, but have never been viewed in the context of traffic theory. In other cases, critical behavior of traffic jam clusters can be compared to instabilities in the partial differential equations. Finally, it is shown how this leads to a consistent picture of traffic jam dynamics.
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Taxonomy
TopicsTraffic control and management · Simulation Techniques and Applications
