High throughput computing application to transport modeling

Mahmoud Mesbah, Majid Sarvi, Jefferson Tan, Fatemeh Karimirad

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

Abstract

Optimization of road space allocation (RSA) from a network perspective is computationally challenging. Analogues to the Network Design Problem (NDP), RSA can be classified as a NP-hard problem. In large scale networks when the number of alternatives increases exponentially, there is a need for an efficient method to reduce the number of alternatives as well as a computational approach to reduce the computer execution time of the analysis. A heuristic algorithm based on Genetic Algorithm (GA) is proposed to efficiently select Transit Priority Alternatives (TPAs). In order to reduce the execution time, the GA is modified to implement two parallel processing techniques: A High Performance Computing (HPC) technique using Multi-threading (MT) and a High Throughput Computing (HTC) technique. The advantages and limitations of the MT and HTC techniques are discussed. Moreover, the proposed framework allows for a TPA to be analyzed by a commercial package which is a significant provision for large scale networks in practice.
Original languageEnglish
Title of host publicationProceedings of the 2011 2nd International Congress on Computer Applications and Computational Science Advances in Intelligent and Soft Computing
EditorsFord Lumban Gaol, Quang Vinh Nguyen
Place of PublicationBerlin Heidelberg Germany
PublisherSpringer-Verlag London Ltd.
Pages45 - 51
Number of pages7
Volume145
ISBN (Print)9783642283079
DOIs
Publication statusPublished - 2012
EventInternational Congress on Computer Applications and Computational Science (CACS) - Bali Indonesia, Berlin Heidelberg Germany
Duration: 1 Jan 2012 → …

Conference

ConferenceInternational Congress on Computer Applications and Computational Science (CACS)
CityBerlin Heidelberg Germany
Period1/01/12 → …

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