Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F12%3A00196698" target="_blank" >RIV/68407700:21260/12:00196698 - isvavai.cz</a>

Alternative codes found

RIV/67985556:_____/12:00381577

Result on the web

<a href="http://dx.doi.org/10.2478/v10158-012-0007-2" target="_blank" >http://dx.doi.org/10.2478/v10158-012-0007-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/v10158-012-0007-2" target="_blank" >10.2478/v10158-012-0007-2</a>

Result language

angličtina

Original language name

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

Original language description

Mathematical modeling is an inevitable part of system analysis and design in science and engineering. When a parametric mathematical description is used, the issue of the parameter estimation accuracy arises. Models with uncertain parameter values can beevaluated using various methods and computer simulation is among the most popular in the engineering community. Nevertheless, an exhaustive numerical analysis of models with numerous uncertain parameters requires a substantial computational effort. Thepurpose of this paper is to show how the computation can be accelerated using a parallel configuration of graphics processing units (GPU). The assessment of the computational speedup is illustrated with a case study. The case study is a simulation of Highway Capacity Manual 2000 Queue Model with selected uncertain parameters. The computational results show that the parallel computation solution is efficient for larger amount of samples when the initial and communication overhead of paral

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/MEB091015" target="_blank" >MEB091015: System Identification Based on Gaussian Process Model for Traffic Control Applications</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Transactions on Transport Sciences

ISSN

1802-971X

e-ISSN

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Volume of the periodical

5

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

55-62

UT code for WoS article

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EID of the result in the Scopus database

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