A Parallelizable Probabilistic Cellular Automata Model for Highway Trafic Simulation: Periodic and Open Boundaries Conditions
Marcelo Zamith (Federal Fluminense University)
Regina Célia Leal-Toledo (Federal Fluminense University)
Mauricio Kischinhevsky (Federal Fluminense University)
Esteban Clua (Federal Fluminense University)
Diego Brandão (Federal Fluminense University)
Anselmo Montenegro (Federal Fluminense University)
Edgar Lima (Federal Fluminense University)
A Cellular Automata (CA) model for traffic roads based on Nagel and Schreckenberg's model is presented. The probabilistic model, investigated in this work, models the individual behavior through an extension of the base model in which a continuous probability function is applied to define an expectancy of a follower with respect to its leading vehicle. This anticipatory feature leads to a counter flow velocity tunning. Moreover, two issues regarding the proposed model are discussed: the use of open boundary conditions (OBC) as well as its parallelizability. Thus, simulations are developed and discussed herein and compared to real data fundamental diagrams.
Large Scale Simulations in CS&E, Numerical Algorithms for CS&E