From early to recent models: A review of the evolution of road traffic and single vehicles noise emission modelling

C Guarnaccia, A Mascolo, P Aumond, A Can… - Current Pollution …, 2024 - Springer
Abstract Purpose of the Review This paper is devoted to the review of the most popular
literature Road Traffic Noise Models (RTNMs) frameworks, from the oldest ones to the recent …

Artificial intelligence based ensemble model for prediction of vehicular traffic noise

V Nourani, H Gökçekuş, IK Umar - Environmental research, 2020 - Elsevier
Vehicular traffic noise is the main source of noise pollution in major cities around the globe.
A reliable and accurate method for the estimation of vehicular traffic noise is therefore …

An emotional artificial neural network for prediction of vehicular traffic noise

V Nourani, H Gökçekuş, IK Umar, H Najafi - Science of the Total …, 2020 - Elsevier
Road traffic is a leading source of environmental noise pollution in large cities, which greatly
affects the health and well-being of people. A reliable method for the prediction of road traffic …

[HTML][HTML] Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation

S Asadi, P Jimeno-Sáez, A López-Ballesteros… - Results in …, 2024 - Elsevier
Precise streamflow forecasting in river systems is crucial for water resources management
and flood risk assessment. The Tagus Headwaters River Basin (THRB) in Spain is a key …

Deep learning and gradient boosting for urban environmental noise monitoring in smart cities

J Renaud, R Karam, M Salomon, R Couturier - Expert Systems with …, 2023 - Elsevier
Every day the innovative IoT technology is expanding further and further in our environment,
with applications deployed in various contexts including cities. Communities can indeed …

Predicting highly dynamic traffic noise using rotating mobile monitoring and machine learning method

Y Zhang, H Zhao, Y Li, Y Long, W Liang - Environmental research, 2023 - Elsevier
Traffic noise, characterized by its highly fluctuating nature, is the second biggest
environmental problem in the world. Highly dynamic noise maps are indispensable for …

[HTML][HTML] Estimating traffic noise over a large urban area: An evaluation of methods

M Fallah-Shorshani, X Yin, R McConnell, S Fruin… - Environment …, 2022 - Elsevier
Unlike air pollution, traffic-related noise remains unregulated and has been under-studied
despite evidence of its deleterious health impacts. To characterize population exposure to …

Sound quality indicators for urban places in Paris cross-validated by Milan data

P Ricciardi, P Delaitre, C Lavandier… - The Journal of the …, 2015 - pubs.aip.org
A specific smartphone application was developed to collect perceptive and acoustic data in
Paris. About 3400 questionnaires were analyzed, regarding the global sound environment …

Modelling the soundscape quality of urban waterfronts by artificial neural networks

VP Romero, L Maffei, G Brambilla, G Ciaburro - Applied Acoustics, 2016 - Elsevier
The renewal of the urban waterfronts has become a major focus of attention for politicians
and decision makers in the city's management programs. The recognition of the patterns that …