Introduction to Parallelization of a Quasi-Anisotropic Mesoscopic Model for Network Traffic Simulation

Hilmi Berk Celikoglu, Randall V. Hudson, Jeremy J. Blum, Vijay Kumar Ravi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Considering the need for the efficient modeling and simulation of vehicular network traffic within temporal domain with reasonable computation load, we introduce a parallelized version of a previously proposed quasi-anisotropic meso-simulation model, used in dynamic network assignment in conjunction with heuristic routing optimization, using a parallel algorithm executed in a multi-threaded system. The use of the scheme is preliminarily discussed following a survey of the use of high performance computing in traffic simulation.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Subtitle of host publicationSmart Mobility for Safety and Sustainability, ITSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages322-329
Number of pages8
ISBN (Electronic)9781467365956, 9781467365956, 9781467365956, 9781467365956
DOIs
Publication statusPublished - 30 Oct 2015
Externally publishedYes
Event18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Spain
Duration: 15 Sept 201518 Sept 2015

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2015-October

Conference

Conference18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Country/TerritorySpain
CityGran Canaria
Period15/09/1518/09/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • High performance computing
  • Network optimization
  • Parallelization
  • Vehicular traffic simulation

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