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Running a Traffic Model on a Linux Cluster: Using MATLAB's Distributed Computing Toolbox

PublisherMathWorks
Format316.7KB PDFDate added27 Oct 2005
Topics Desktop Systems - PCs, Linux - Open Source, Linux Server OS
Downloads127

Distributed computing has become an accepted technology to reduce the time needed to perform large computations. The MathWorks has anticipated this development by introducing the Distributed Computing Toolbox for MATLAB. This toolbox allows MATLAB users to run their applications on clusters of PC's, thus obtaining results quicker than on a single PC. This paper describes the application of the toolbox to the dynamic traffic assignment model MARPLE, which is written in MATLAB. This model optimizes the settings of the traffic signals in an area. For large road networks, the optimization time becomes problematic. Parallelizing the optimization algorithm using the Distributed Computing Toolbox and running it on SARA's large Linux cluster has shown to be an efficient way to reduce the computing time.

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