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Creating scalable traffic simulation on clusters

Gourgoulis, Agathocles and Terstyanszky, Gabor and Kacsuk, Peter K. and Winter, Stephen (2004) Creating scalable traffic simulation on clusters. In: Proceedings of the 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2004). IEEE, Los Alamitos, USA, pp. 60-65. ISBN 0769520839

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Official URL: http://dx.doi.org/10.1109/EMPDP.2004.1271428

Abstract

We describe the implementation of a transport simulation in a parallel environment. The implementation is based on a graphical parallel programming environment called P-GRADE. The transport simulator, called MadCity, simulates a specific road network of a city and shows cars moving on the roads. To achieve scalability of the traffic simulation, the use of templates is necessary. This helps to control the number of participating processes required for the simulation without making modifications to the simulator's source code. Performance results are collected from four, eight and sixteen nodes of the Parsifal cluster and compared with the sequential execution results of the simulator. The implementation of the transport simulator is extended further to support the simulation of multiple cities within the same cluster and on the Grid.

Item Type:Book Section
Uncontrolled Keywords:Digital simulation, grid computing, parallel programming, road traffic, traffic engineering computing, visual programming, workstation clusters, MadCity transport simulator, P-GRADE graphical parallel programming environment, Parsifal cluster, grid computing, road network, scalable traffic simulation
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:4443
Deposited On:05 Sep 2007
Last Modified:11 Aug 2010 15:32

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