Machine learning for pavement performance modelling in warm climate regions

W Zeiada, SA Dabous, K Hamad, R Al-Ruzouq… - Arabian journal for …, 2020 - Springer
Accurate pavement performance modelling is an essential requirement for cost-effective
pavement design and enhances pavement management decision making. Due to the …

Modeling roadway traffic noise in a hot climate using artificial neural networks

K Hamad, MA Khalil, A Shanableh - Transportation Research Part D …, 2017 - Elsevier
Road traffic noise is the most prevalent form of environmental noise pollution, and it can
either be measured in the field or predicted through verified mathematical models. While …

[HTML][HTML] in infrastructure projects—gap study

MY Abdel-Kader, AM Ebid, KC Onyelowe, IM Mahdi… - Infrastructures, 2022 - mdpi.com
Infrastructure projects are usually complicated, expensive, long-term mega projects;
accordingly, they are the type of projects that most need optimization in the design …

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 …

[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 …

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 …

Improving the resilience of distribution network in coming across seismic damage using mobile battery energy storage system

M Rajabzadeh, M Kalantar - Journal of Energy Storage, 2022 - Elsevier
Natural disasters, especially earthquakes, regarding their higher frequency, have had
devastating effects on distribution networks (DNs). So it is necessary to provide vital …

[HTML][HTML] 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 …

Environmental traffic noise modelling of Dhanbad township area–A mathematical based approach

A Debnath, PK Singh - Applied Acoustics, 2018 - Elsevier
Environmental noise is an undesirable by product of industrialization and urbanization
where this unwanted sound makes a significant damage to human beings viz. can cause …

[HTML][HTML] Modelling road traffic Noise under heterogeneous traffic conditions using the graph-theoretic approach

TA Gilani, MS Mir - Environmental Science and Pollution Research, 2021 - Springer
A traffic noise system involves several subsystems like road traffic subsystem, human
subsystem, environment subsystem, traffic network subsystem, and urban prosperity …