Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9225
Main Title: Using common graphics hardware for 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 NVIDIAs CUDA framework.
URI: https://depositonce.tu-berlin.de/handle/11303/10263
http://dx.doi.org/10.14279/depositonce-9225
Issue Date: 16-May-2010
Date Available: 7-Nov-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): traffic simulation
multi-agent
CUDA
GPU
computing power
parallel simulation
performance measures
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: Proceedings of the Second International ICST Conference on Simulation Tools and Techniques
Editor: Dalle, Olivier
Wainer, Gabriel
Stea, Giovanni
Perrone, L. Felipe
Publisher: ICST
Publisher Place: Rome
Publisher DOI: 10.4108/ICST.SIMUTOOLS2009.5666
ISBN: 978-963-9799-45-5
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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