Heywood, P., Richmond, P. and Maddock, S. orcid.org/0000-0003-3179-0263 (2015) Road Network Simulation Using FLAME GPU. In: Euro-Par 2015: Parallel Processing Workshops. Euro-Par 2015 International Workshops, 24-25 Aug 2015, Vienna, Austria. Lecture Notes in Computer Science, 9523 . Springer, Cham , pp. 430-441. ISBN 978-3-319-27307-5
Abstract
Demand for high performance road network simulation is increasing due to the need for improved traffic management to cope with the globally increasing number of road vehicles and the poor capacity utilisation of existing infrastructure. This paper demonstrates FLAME GPU as a suitable Agent Based Simulation environment for road network simulations, capable of coping with the increasing demands on road network simulation. Gipps’ car following model is implemented and used to demonstrate the performance of simulation as the problem size is scaled. The performance of message communication techniques has been evaluated to give insight into the impact of runtime generated data structures to improve agent communication performance. A custom visualisation is demonstrated for FLAME GPU simulations and the techniques used are described.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing Switzerland 2015. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Parallel agent based simulation; FLAME GPU; Transport network; Performance scaling; Visualisation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Dec 2017 09:23 |
Last Modified: | 22 Dec 2017 09:31 |
Published Version: | https://doi.org/10.1007/978-3-319-27308-2_35 |
Status: | Published |
Publisher: | Springer, Cham |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-27308-2_35 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:125352 |