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KORČEK, P.; SEKANINA, L.; FUČÍK, O.
Original Title
Calibration of Traffic Simulation Models Using Vehicle Travel Times
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
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.
English abstract
Keywords
Key words in English
Authors
RIV year
2013
Released
24.09.2012
ISBN
0302-9743
Periodical
Lecture Notes in Computer Science
Volume
2012
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="Calibration of Traffic Simulation Models 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" }
Documents
TCA2012