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An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

Marcelo Zamith, Mark Joselli, Jose Ricardo Silva Junior, Regina Celia P. Leal-Toledo, Esteban Clua, Eduardo Soluri
MediaLab, IC-UFF
GPU Computing Developer Forum 2012 – XXXII Congresso da Sociedade Brasileira de Software, 2012

@article{zamith2012approach,

   title={An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model},

   author={Zamith, M. and Joselli, M. and Junior, J.R.S. and Leal-Toledo, R.C.P. and Clua, E. and MediaLab, I. and Soluri, E. and Tecnologia, N.},

   year={2012}

}

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Traffic forecast has been of practical interest for modern society, mainly in minimizing of jammed traffic effects due to the saturation of roads, as well as predictable the impact of road interventions. In this way, a family of computational methods that represent basic traffic characteristics is based on Cellular Automata (CA). Moreover, the simulation of traffic system for greater roads lattice requires a high computational cost. Therefore, this work presents an approach of sophisticate CA models applied for traffic simulation on GPU.
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