Multi-agent traffic simulation with CUDA
Transport Systems Planning and Transport Telematics (VSP), TU Berlin, Salzufer 17-19, Sekr. SG 12, 10587 Berlin, Germany
International Conference on High Performance Computing & Simulation, 2009. HPCS ’09, pp.106-114
@conference{strippgen2009multi,
title={Multi-agent traffic simulation with CUDA},
author={Strippgen, D. and Nagel, K.},
booktitle={High Performance Computing & Simulation, 2009. HPCS’09. International Conference on},
pages={106–114},
year={2009},
organization={Ieee}
}
Today’s graphics processing units (GPU) have tremendous resources when it comes to raw computing power. The simulation of large groups of agents in transport simulation has a huge demand of computation time. Therefore it seems reasonable to try to harvest this computing power for traffic simulation. Unfortunately simulating a network of traffic is inherently connected with random memory access. This is not a domain that the SIMD (single instruction, multiple data) architecture of GPUs is known to work well with. In this paper the authors will try to achieve a speedup by computing multi-agent traffic simulations on the graphics device using NVIDIA’s CUDA framework.
February 16, 2011 by hgpu
