Publication detail

Calibrating Traffic Simulation Model using Vehicle Travel Times

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

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="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"
}