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KORČEK, P. SEKANINA, L. FUČÍK, O.
Original Title
Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times
Type
journal article - other
Language
English
Original Abstract
An effective calibration method of the cellular automaton based traffic microsimulation model is proposed in this paper. It is shown that by utilizing a genetic algorithm it is possible to calibrate different parameters of the model much better than a traffic expert. Moreover, using this process it is also possible to find several model parameters that are extremely difficult to calibrate as relevant data can not be measured using standard monitoring technologies or complete data sets are often not available. The quality of the new calibrated models is discussed in the task of vehicle travel time estimation. The precision of simulations is increased over three times compared to a manually tuned model. The average error rate is 10.75 % in comparison with several field travel time data.
Keywords
traffic, microsimulation, cellular automaton model, calibration, travel time
Authors
KORČEK, P.; SEKANINA, L.; FUČÍK, O.
RIV year
2013
Released
31. 12. 2013
Publisher
Old City Publishing, Inc.
ISBN
1557-5969
Periodical
Journal of Cellular Automata
Year of study
8
Number
6
State
United Kingdom of Great Britain and Northern Ireland
Pages from
457
Pages to
467
Pages count
12
URL
https://www.fit.vut.cz/research/publication/10241/
BibTex
@article{BUT104511, author="Pavol {Korček} and Lukáš {Sekanina} and Otto {Fučík}", title="Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times", journal="Journal of Cellular Automata", year="2013", volume="8", number="6", pages="457--467", issn="1557-5969", url="https://www.fit.vut.cz/research/publication/10241/" }