High throughput computing application to transport modeling

Mesbah, Mahmoud, Sarvi, Majid, Tan, Jefferson and Karimirad, Fateme (2012). High throughput computing application to transport modeling. In: Ford Lumban Gaol and Quang Vinh Nguyen, Proceedings of the 2nd International Congress on Computer Applications and Computational Science: Volume 2. 2nd International Congress on Computer Applications and Computational Science 2011, Jakarta, Indonesia, (45-51). 15-17 November 2011. doi:10.1007/978-3-642-28308-6_7


Author Mesbah, Mahmoud
Sarvi, Majid
Tan, Jefferson
Karimirad, Fateme
Title of paper High throughput computing application to transport modeling
Conference name 2nd International Congress on Computer Applications and Computational Science 2011
Conference location Jakarta, Indonesia
Conference dates 15-17 November 2011
Proceedings title Proceedings of the 2nd International Congress on Computer Applications and Computational Science: Volume 2
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2012
Sub-type Fully published paper
DOI 10.1007/978-3-642-28308-6_7
ISBN 9783642283086
9783642283079
ISSN 1867-5662
1867-5670
Editor Ford Lumban Gaol
Quang Vinh Nguyen
Volume 145
Start page 45
End page 51
Total pages 7
Collection year 2013
Language eng
Abstract/Summary 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.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Series title: Advances in Intelligent and Soft Computing

Document type: Conference Paper
Collections: School of Civil Engineering Publications
Official 2013 Collection
 
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Created: Wed, 26 Sep 2012, 01:51:09 EST by Ms Ramona Hooyer on behalf of School of Civil Engineering