Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7739
Main Title: Multi-agent traffic simulation with CUDA
Author(s): Strippgen, David
Nagel, Kai
Type: Conference Object
Language Code: en
Abstract: 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.
URI: https://depositonce.tu-berlin.de//handle/11303/8605
http://dx.doi.org/10.14279/depositonce-7739
Issue Date: 2009
Date Available: 27-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): multi agent simulation
large-scale simulation
GPGPU
GPU
multi-core
CUDA
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: 2009 International Conference on High Performance Computing & Simulation
Publisher: IEEE
Publisher Place: Piscataway, NJ
Publisher DOI: 10.1109/HPCSIM.2009.5192895
Page Start: 106
Page End: 114
ISBN: 978-1-4244-4906-4
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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