Distributed/Parallel Genetic Algorithm for Road Traffic Network Division for Distributed Traffic Simulation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43919703" target="_blank" >RIV/49777513:23520/14:43919703 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-01571-2_18" target="_blank" >http://dx.doi.org/10.1007/978-3-319-01571-2_18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-01571-2_18" target="_blank" >10.1007/978-3-319-01571-2_18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributed/Parallel Genetic Algorithm for Road Traffic Network Division for Distributed Traffic Simulation

Popis výsledku v původním jazyce

In this paper, a distributed/parallel method for division of road traffic networks for distributed road traffic simulation is described. The method is based on its sequential version, which we developed during our previous research. This sequential version utilizes the weights of traffic lanes representing the numbers of vehicles moving within them and a genetic algorithm for the division of the road traffic network into the required number of load-balanced sub-networks interconnected with minimal number of divided traffic lanes. The distributed/parallel version of the division method described in this paper uses a similar approach, but utilizes a distributed/parallel computing environment for a distributed/parallel execution of the genetic algorithm and, consequently, for the speedup of the entire method.

Název v anglickém jazyce

Distributed/Parallel Genetic Algorithm for Road Traffic Network Division for Distributed Traffic Simulation

Popis výsledku anglicky

In this paper, a distributed/parallel method for division of road traffic networks for distributed road traffic simulation is described. The method is based on its sequential version, which we developed during our previous research. This sequential version utilizes the weights of traffic lanes representing the numbers of vehicles moving within them and a genetic algorithm for the division of the road traffic network into the required number of load-balanced sub-networks interconnected with minimal number of divided traffic lanes. The distributed/parallel version of the division method described in this paper uses a similar approach, but utilizes a distributed/parallel computing environment for a distributed/parallel execution of the genetic algorithm and, consequently, for the speedup of the entire method.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Intelligent Distributed Computing VII.

ISBN

978-3-319-01570-5

ISSN

1860-949X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

151-156

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Praha

Datum konání akce

4. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—