Comparison of classical statistical methods and artificial neural network in traffic noise prediction

V Nedic, D Despotovic, S Cvetanovic… - Environmental Impact …, 2014 - Elsevier
Traffic is the main source of noise in urban environments and significantly affects human
mental and physical health and labor productivity. Therefore it is very important to model the …

Traffic noise prediction applying multivariate bi-directional recurrent neural network

X Zhang, H Kuehnelt, W De Roeck - Applied Sciences, 2021 - mdpi.com
With the drastically increasing traffic in the last decades, crucial environmental problems
have been caused, such as greenhouse gas emission and traffic noise pollution. These …

[PDF][PDF] Advanced tools for traffic noise modelling and prediction

C Guarnaccia - WSEAS Transactions on Systems, 2013 - wseas.us
Environmental impact studies are strongly related to road traffic noise, especially in urban
areas. A long term exposure to road traffic noise, in fact, can lead to relevant effects, both …

Bibliometric analysis and review of auditory and non-auditory health impact due to road traffic noise exposure

M Manohare, E Rajasekar, M Parida, S Vij - Noise Mapping, 2022 - degruyter.com
This paper presents a bibliometric and critical review of auditory and non-auditory health
impacts due to road traffic noise exposure. The paper discusses the general trends of …

Anthropogenic noise is associated with telomere length and carotenoid-based coloration in free-living nestling songbirds

ML Grunst, AS Grunst, R Pinxten, M Eens - Environmental Pollution, 2020 - Elsevier
Growing evidence suggests that anthropogenic noise has deleterious effects on the
behavior and physiology of free-living animals. These effects may be particularly …

Forecast and control of traffic noise based on improved UE model during road network design

L Chen, B Sun, H Wang, Q Li, L Hu, Z Chen - Applied Acoustics, 2020 - Elsevier
Considering the factor of traffic noise during design period could mitigate the noise emission
of urban road networks. In this paper, noise prediction and control of typical points among …

Study on the network acoustics environment effects of traffic management measures by a bilevel programming model

X Yan, Z Wu, Z Wu, H Wang - Sustainable Cities and Society, 2024 - Elsevier
This study examines the mechanisms of environmentally oriented traffic management
measures through an environmental network design problem. An improved user equilibrium …

A neural network noise prediction model for Tehran urban roads

A Mansourkhaki, M Berangi, M Haghiri… - Journal of …, 2018 - journals.vilniustech.lt
Over the last decades, the number of motor vehicles has increased dramatically in Iran,
where different traffic characteristics and urban structures are notable. In the present study, a …

Modeling traffic noise in a mountainous city using artificial neural networks and gradient correction

L Chen, B Tang, T Liu, H Xiang, Q Sheng… - … Research Part D …, 2020 - Elsevier
Different regions have established traffic noise prediction models to adapt to their particular
environmental characteristics. This paper aimed to develop a traffic noise prediction model …

An adaptive nonlinear autoregressive ANN model for high time resolution traffic noise predictions. Experimental results for a port city waterfront

R Baccoli, F Sollai, A Medda, A Piccolo… - Building and …, 2022 - Elsevier
In this research study an adaptive recurrent artificial nonlinear neural network identification
model has been developed and experimentally tested for dynamically predicting the traffic …