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KORČEK, P. SEKANINA, L. FUČÍK, O.
Original Title
Calibrating Traffic Simulation Model using Vehicle Travel Times
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
traffic, simulation, cellular automaton model, calibration, travel time
Authors
KORČEK, P.; SEKANINA, L.; FUČÍK, O.
RIV year
2012
Released
24. 9. 2012
ISBN
0302-9743
Periodical
Lecture Notes in Computer Science
Year of study
Number
7495
State
Federal Republic of Germany
Pages from
807
Pages to
816
Pages count
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" }