Relationship Between Road Traffic Composition and Noise Emission: an Investigation Based on Hungarian National Public Road Traffic Data

Authors

  • Edina Balogh
    Affiliation
    KTI Hungarian Institute for Transport Sciences and Logistics, P.O.B. 107, H-1518 Budapest, Hungary
  • Viola Parászka
    Affiliation
    KTI Hungarian Institute for Transport Sciences and Logistics, P.O.B. 107, H-1518 Budapest, Hungary
https://doi.org/10.3311/PPtr.38155

Abstract

Different vehicles contribute to the noise emission of the total road traffic in different ways and degrees. Therefore, emission calculation methods classify road vehicles based on their typical noise emission parameters. This article investigated the role of the four vehicle categories of CNOSSOS-EU method (light motor vehicles, medium heavy vehicles, heavy vehicles, and powered two-wheelers) in generating road traffic noise emissions. Based on traffic data available for national public roads in Hungary, the proportion of each vehicle category in the total road traffic was determined, providing the average distribution and other statistical parameters for each road category. The impact of changes in the traffic composition on noise emission was analysed based on the statistical parameters. The results show the dominance of light vehicles for all road categories (76–89% on average). The average proportion of heavy vehicles is also significant on controlled-access highways (motorways: 21%, expressways: 15%) and main roads (9%). The deviation from the average traffic composition can cause a noticeable difference in road traffic noise emission (up to nearly 3 dB). It was found that the impact of changing the proportion of heavy and light vehicles on noise emission is higher on roads inside built-up areas.

Keywords:

road traffic noise emission, vehicle categories, traffic composition, CNOSSOS-EU method

Citation data from Crossref and Scopus

Published Online

2024-11-14

How to Cite

Balogh, E., Parászka, V. (2025) “Relationship Between Road Traffic Composition and Noise Emission: an Investigation Based on Hungarian National Public Road Traffic Data”, Periodica Polytechnica Transportation Engineering, 53(1), pp. 103–109. https://doi.org/10.3311/PPtr.38155

Issue

Section

Articles