| Issue |
MATEC Web Conf.
Volume 254, 2019
XXIII Polish-Slovak Scientific Conference on Machine Modelling and Simulations (MMS 2018)
|
|
|---|---|---|
| Article Number | 02038 | |
| Number of page(s) | 6 | |
| Section | Modelling and Simulation, Structural Optimization | |
| DOI | https://doi.org/10.1051/matecconf/201925402038 | |
| Published online | 15 January 2019 | |
Application of selected computational intelligence methods to sound level modelling based on traffic intensity in thoroughfare
Kielce University of Technology, Faculty of Mechatronics and Mechanical Engineering, Aleja Tysiąclecia Państwa Polskiego 7, 25314 Kielce, Poland
* Corresponding author: m.kekez@tu.kielce.pl
The aim of the paper was to build the models of sound pressure level as a function of traffic intensity in thoroughfare. The models were built by using artificial analytical models or regression trees. The former included Nordic Prediction Method. The latter were represented by Random Forest and Cubist. The analysis of accuracy of all obtained models was conducted. The best models can be used in the process of reconstruction of equivalent sound level data.
Key words: traffic noise / nordic prediction method / random forest
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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