Prof. Ing. Lukáš Sekanina, Ph.D.

KORČEK Pavol, SEKANINA Lukáš and FUČÍK Otto. Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times. Journal of Cellular Automata. Philadelphia: Old City Publishing, Inc., 2013, vol. 8, no. 6, pp. 457-467. ISSN 1557-5969.
Publication language:english
Original title:Advanced Approach to Calibration of Traffic Microsimulation Using Travel Times
Title (cs):Rozšířená kalibrace dopravních mikrosimulátoru za pomocí dojezdových dob vozidel
Book:Journal of Cellular Automata
Journal:Journal of Cellular Automata, Vol. 8, No. 6, Philadelphia, US
Publisher:Old City Publishing, Inc.
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traffic, microsimulation, cellular automaton model, calibration, travel time
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.
   author = {Pavol Kor{\v{c}}ek and Luk{\'{a}}{\v{s}} Sekanina and Otto
   title = {Advanced Approach to Calibration of Traffic Microsimulation
	Using Travel Times},
   pages = {457--467},
   booktitle = {Journal of Cellular Automata},
   journal = {Journal of Cellular Automata},
   volume = {8},
   number = {6},
   year = {2013},
   publisher = {Old City Publishing, Inc.},
   ISSN = {1557-5969},
   language = {english},
   url = {}

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