Prof. Ing. Lukáš Sekanina, Ph.D.

KORČEK Pavol, SEKANINA Lukáš and FUČÍK Otto. Evolutionary approach to calibration of cellular automaton based traffic simulation model. In: Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems. Anchorage: IEEE Intelligent Transportation Systems Society, 2012, pp. 122-129. ISBN 978-1-4673-3062-6. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6338759
Publication language:english
Original title:Evolutionary approach to calibration of cellular automaton based traffic simulation model
Title (cs):Evoluční přístup ku kalibraci dopravního simulačního modelu založeného na celulárním automatu
Pages:122-129
Proceedings:Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems
Conference:15th International IEEE Conference on Intelligent Transportation Systems
Place:Anchorage, US
Year:2012
URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6338759
ISBN:978-1-4673-3062-6
Publisher:IEEE Intelligent Transportation Systems Society
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Keywords
Simulation and Modeling, Statistical Modeling, Large Scale Traffic Management Simulation
Annotation
Microscopic traffic simulation models have become very popular in the evaluation of transportation engineering and planning practices in the past few decades. To achieve high fidelity and credibility of simulations, a model calibration and validation must be performed prior to deployment of the simulator. In this paper, we proposed an effective calibration method of the microscopic traffic simulation model. The model is based on the cellular automaton, which allows fast large-scale real-time simulation. For its calibration, we utilized a genetic algorithm which is able to optimize different parameters much better that a human expert. Furthermore, it is possible to readjust the model to given field data coming from standard surveillance technologies such as loop detectors in our case. We have shown that the precision of simulations can be increased by 20 % with respect to a manually tuned model.
BibTeX:
@INPROCEEDINGS{
   author = {Pavol Kor{\v{c}}ek and Luk{\'{a}}{\v{s}} Sekanina and Otto
	Fu{\v{c}}{\'{i}}k},
   title = {Evolutionary approach to calibration of cellular automaton
	based traffic simulation model},
   pages = {122--129},
   booktitle = {Proceedings of the 15th International IEEE Conference on
	Intelligent Transportation Systems},
   year = {2012},
   location = {Anchorage, US},
   publisher = {IEEE Intelligent Transportation Systems Society},
   ISBN = {978-1-4673-3062-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9898}
}

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