Abstract
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. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Korcek, P., Sekanina, L., & Fucik, O. (2012). Calibration of traffic simulation models using vehicle travel times. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7495 LNCS, pp. 807–816). Springer Verlag. https://doi.org/10.1007/978-3-642-33350-7_84
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