Publication detail

Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times

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/"
}