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Description
  • 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.
  • 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. (en)
Title
  • Calibrating Traffic Simulation Model using Vehicle Travel Times
  • Calibrating Traffic Simulation Model using Vehicle Travel Times (en)
skos:prefLabel
  • Calibrating Traffic Simulation Model using Vehicle Travel Times
  • Calibrating Traffic Simulation Model using Vehicle Travel Times (en)
skos:notation
  • RIV/00216305:26230/12:PU101775!RIV13-GA0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(GAP103/10/1517), P(GD102/09/H042), S, Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika
  • 7495
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 125824
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/12:PU101775
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • traffic, simulation, cellular automaton model, calibration, travel time (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [F7E88BD7B998]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2012
http://linked.open...iv/tvurceVysledku
  • Fučík, Otto
  • Korček, Pavol
  • Sekanina, Lukáš
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-33350-7_84
http://localhost/t...ganizacniJednotka
  • 26230
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