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Detail publikace
KORČEK, P. SEKANINA, L. FUČÍK, O.
Originální název
Calibrating Traffic Simulation Model using Vehicle Travel Times
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
traffic, simulation, cellular automaton model, calibration, travel time
Autoři
KORČEK, P.; SEKANINA, L.; FUČÍK, O.
Rok RIV
2012
Vydáno
24. 9. 2012
ISSN
0302-9743
Periodikum
Lecture Notes in Computer Science
Ročník
Číslo
7495
Stát
Spolková republika Německo
Strany od
807
Strany do
816
Strany počet
10
URL
http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-33349-1
BibTex
@article{BUT96950, author="Pavol {Korček} and Lukáš {Sekanina} and Otto {Fučík}", title="Calibrating Traffic Simulation Model using Vehicle Travel Times", journal="Lecture Notes in Computer Science", year="2012", volume="2012", number="7495", pages="807--816", doi="10.1007/978-3-642-33350-7\{_}84", issn="0302-9743", url="http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-33349-1" }
Dokumenty
TCA2012.pdf