Detail publikace

Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times

KORČEK, P. SEKANINA, L. FUČÍK, O.

Originální název

Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times

Anglický název

Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@article{BUT104511,
  author="Pavol {Korček} and Lukáš {Sekanina} and Otto {Fučík}",
  title="Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times",
  annote="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.",
  address="Old City Publishing, Inc.",
  booktitle="Journal of Cellular Automata",
  chapter="104511",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Old City Publishing, Inc.",
  number="6",
  volume="8",
  year="2013",
  month="december",
  pages="457--467",
  publisher="Old City Publishing, Inc.",
  type="journal article - other"
}