Detail publikace

Calibrating Traffic Simulation Model using Vehicle Travel Times

KORČEK, P. SEKANINA, L. FUČÍK, O.

Originální název

Calibrating Traffic Simulation Model using Vehicle Travel Times

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

traffic, simulation, cellular automaton model, calibration, travel time

Autoři

KORČEK, P.; SEKANINA, L.; FUČÍK, O.

Rok RIV

2012

Vydáno

24. 9. 2012

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2012

Číslo

7495

Stát

Spolková republika Německo

Strany od

807

Strany do

816

Strany počet

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"
}