Regression analysis of train operating parameters influencing railway noise emission based on field measurements
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
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spoza wykazu
| Status: | |
| Autorzy: | Wrótny Marcin |
| Dyscypliny: | |
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| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Strony: | 945 - 951 |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 19th International Conference on Road and Rail Infrastructure |
| Skrócona nazwa konferencji: | 9th CETRA 2026 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 27 maja 2026 do 30 maja 2026 |
| Miasto konferencji: | Bol, Island Brac |
| Państwo konferencji: | CHORWACJA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The aim of this study is to assess the influence of train operating parameters on railway noise emission levels under real operating conditions. The analysis is based on field measurement data collected at five sites located in different regions of Poland, under uniform measurement conditions (microphone positioned 7.5 m from the track axis and 1.2 m above the railhead). In total, over 300 train pass-bys were included in the dataset, covering various train categories. Each pass-by was recorded with simultaneous measurements of train speed, the equivalent continuous A-weighted sound level (LAeq), and meteorological parameters. A set of regression models was developed to determine the effect of selected operating parameters on railway noise emission. The modelling approaches included classical linear regression (LM), weighted least squares regression (WLS), and regularized methods such as LASSO, Ridge, and Elastic Net. The models were evaluated in terms of their goodness of fit (R², RMSE), parameter stability, and the statistical significance of the effects (p-values). Additionally, an interaction term between train speed and train type was incorporated to better capture the real operational variability of railway noise emission processes. |
