ArticleEnvironmental monitoring and assessment2026
Validation of road traffic noise and prediction of traffic increases along a highway in Hungary using noise maps.
Article in Environmental monitoring and assessment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors.
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Abstract
In urban regions of Europe, road traffic noise ranks as the second most significant environmental stressor, following air pollution. This study measures urban road traffic noise using a noise map that is validated by in situ noise measurements, and it predicts a future scenario for increased traffic in 2030 by altering the traffic composition and overall vehicle count whilst evaluating the noise exposure at building façade points. The investigation used the noise mapping software IMMI and employed the CNOSSOS-EU method to assess road traffic noise. There are strong connections between the actual noise measurements and the model results, with an average difference of 1.09 dB(A) on the roadside, whilst on the receptor side it was 0.81 dB(A). Urban transport development provides the basic data to predict the noise levels affecting the designated area. Based on the 35% increase expected in average day and night traffic flow in 2030, the results indicate an additional 307.14% of people will be exposed to noise levels between 55 and 60 dB(A) throughout the day (L
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