Evolutionary approach to calibration of cellular automaton based traffic simulation model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101759" target="_blank" >RIV/00216305:26230/12:PU101759 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6338759" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6338759</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ITSC.2012.6338759" target="_blank" >10.1109/ITSC.2012.6338759</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary approach to calibration of cellular automaton based traffic simulation model

Popis výsledku v původním jazyce

Microscopic traffic simulation models have become very popular in the evaluation of transportation engineering and planning practices in the past few decades. To achieve high fidelity and credibility of simulations, a model calibration and validation must be performed prior to deployment of the simulator. In this paper, we proposed an effective calibration method of the microscopic traffic simulation model. The model is based on the cellular automaton, which allows fast large-scale real-time simulation.For its calibration, we utilized a genetic algorithm which is able to optimize different parameters much better that a human expert. Furthermore, it is possible to readjust the model to given field data coming from standard surveillance technologies such as loop detectors in our case. We have shown that the precision of simulations can be increased by 20 % with respect to a manually tuned model.

Název v anglickém jazyce

Evolutionary approach to calibration of cellular automaton based traffic simulation model

Popis výsledku anglicky

Microscopic traffic simulation models have become very popular in the evaluation of transportation engineering and planning practices in the past few decades. To achieve high fidelity and credibility of simulations, a model calibration and validation must be performed prior to deployment of the simulator. In this paper, we proposed an effective calibration method of the microscopic traffic simulation model. The model is based on the cellular automaton, which allows fast large-scale real-time simulation.For its calibration, we utilized a genetic algorithm which is able to optimize different parameters much better that a human expert. Furthermore, it is possible to readjust the model to given field data coming from standard surveillance technologies such as loop detectors in our case. We have shown that the precision of simulations can be increased by 20 % with respect to a manually tuned model.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems

ISBN

978-1-4673-3062-6

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

122-129

Název nakladatele

IEEE Intelligent Transportation Systems Society

Místo vydání

Anchorage

Místo konání akce

Anchorage

Datum konání akce

16. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000312599600021