Calibrating Traffic Simulation Model using Vehicle Travel Times
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101775" target="_blank" >RIV/00216305:26230/12:PU101775 - isvavai.cz</a>
Result on the web
<a href="http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-33349-1" target="_blank" >http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-33349-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33350-7_84" target="_blank" >10.1007/978-3-642-33350-7_84</a>
Alternative languages
Result language
angličtina
Original language name
Calibrating Traffic Simulation Model using Vehicle Travel Times
Original language description
In this paper, we propose an effective calibration method of the cellular automaton based microscopic traffic simulation model. We have shown that by utilizing a genetic algorithm it is possible to optimize various model parameters much better than a human expert. Quality of the new model has been shown in task of travel time estimation. We increased precision by more than 25 % with regard to a manually tuned model. Moreover, we were able to calibrate some model parameters such as driver sensitivity that are extremely difficult to calibrate as relevant data can not be measured using standard monitoring technologies.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
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
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Computer Science
ISSN
0302-9743
e-ISSN
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Volume of the periodical
2012
Issue of the periodical within the volume
7495
Country of publishing house
DE - GERMANY
Number of pages
10
Pages from-to
807-816
UT code for WoS article
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EID of the result in the Scopus database
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