Two Lane Traffic Simulations using Cellular Automata
Marcus Rickert (1, 2), Kai Nagel (2), Michael Schreckenberg (3),, Andreas Latour (4) ((1) Center for Parallel Computing, Cologne, Germany, (2), TSASA, Los Alamos National Lab, (3) Gerhard-Mercator-University, Duisburg,, Germany, (4) Institute of Theoretical Physics

TL;DR
This paper explores a two-lane cellular automaton model for traffic flow, analyzing key parameters and the role of stochastic elements to better understand real-world traffic dynamics.
Contribution
It extends single-lane CA models to two lanes and highlights the impact of stochasticity on traffic behavior.
Findings
Identification of key parameters affecting traffic flow
Stochastic elements significantly influence traffic dynamics
Insights into fundamental diagram shape variations
Abstract
We examine a simple two lane cellular automaton based upon the single lane CA introduced by Nagel and Schreckenberg. We point out important parameters defining the shape of the fundamental diagram. Moreover we investigate the importance of stochastic elements with respect to real life traffic.
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