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GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios

Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal
Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
In Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation (2009), pp. 95-103.

@conference{perumalla2009gpu,

   title={GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios},

   author={Perumalla, K.S. and Aaby, B.G. and Yoginath, S.B. and Seal, S.K.},

   booktitle={Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation},

   pages={95–103},

   year={2009},

   organization={IEEE Computer Society}

}

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A methodology and its associated algorithms are presented for mapping a novel, field-based vehicular mobility model onto graphical processing unit computational platform for simulating mobility in large-scale road networks. Of particular focus is the achievement of real-time execution, on desktop platforms, of vehicular mobility on road networks comprised of millions of nodes and links, and multi-million counts of simultaneously active vehicles. The methodology is realized in a system called GARFIELD, whose implementation details and performance study are described. The runtime characteristics of a prototype implementation are presented that show real-time performance in simulations of networks at the scale of a few states of the US road networks.
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