Detail výsledku
Evolutionary approach to calibration of cellular automaton based traffic simulation model
Sekanina Lukáš, prof. Ing., Ph.D., UPSY (FIT)
Fučík Otto, doc. Dr. Ing., UPSY (FIT)
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.
Simulation and Modeling, Statistical Modeling, Large Scale Traffic Management Simulation
@inproceedings{BUT96934,
author="Pavol {Korček} and Lukáš {Sekanina} and Otto {Fučík}",
title="Evolutionary approach to calibration of cellular automaton based traffic simulation model",
booktitle="Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems",
year="2012",
pages="122--129",
publisher="IEEE Intelligent Transportation Systems Society",
address="Anchorage",
doi="10.1109/ITSC.2012.6338759",
isbn="978-1-4673-3062-6",
url="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6338759"
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