[HTML][HTML] Simulation, optimization, and machine learning in sustainable transportation systems: models and applications
The need for effective freight and human transportation systems has consistently increased
during the last decades, mainly due to factors such as globalization, e-commerce activities …
during the last decades, mainly due to factors such as globalization, e-commerce activities …
How residential energy consumption has changed due to COVID-19 pandemic? An agent-based model
Integrating occupant behavior with residential energy use for detailed energy quantification
has attracted research attention. However, many of the available models fail to capture …
has attracted research attention. However, many of the available models fail to capture …
An emotional artificial neural network for prediction of vehicular traffic noise
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 …
affects the health and well-being of people. A reliable method for the prediction of road traffic …
Investigating important and necessary conditions to analyse traffic noise levels at intersections in mid-sized cities
Traffic noise is a major problem for urban residents, especially near intersections. In order to
effectively manage and control traffic noise, there is a need for a better understanding of …
effectively manage and control traffic noise, there is a need for a better understanding of …
The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview
This paper reviews the application of artificial intelligence (AI)-based models in modeling
vehicular road traffic noise. A computerized search method was used to conduct the …
vehicular road traffic noise. A computerized search method was used to conduct the …
[HTML][HTML] Statistical road-traffic noise mapping based on elementary urban forms in two cities of South Korea
Statistical models that can generate a road-traffic noise map for a city or area where only
elementary urban design factors are determined, and where no concrete urban morphology …
elementary urban design factors are determined, and where no concrete urban morphology …
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 …
model has been developed and experimentally tested for dynamically predicting the traffic …
Comparative analysis of machine learning and analytical hierarchy analysis for artificial groundwater recharge map development
R Al-Ruzouq, A Shanableh, S Mukherjee… - Environmental Earth …, 2023 - Springer
A proactive policy for tackling the global water crisis involves the application of artificial
groundwater recharge (AGR). AGR site selection is a complex challenge, particularly in …
groundwater recharge (AGR). AGR site selection is a complex challenge, particularly in …
Modeling daily in-home activities using machine learning techniques
Activity-based modeling for travel demand forecasting have mainly focused on out-of-home
activities. However, out-of-home (OH) and in-home (IH) activities are closely related …
activities. However, out-of-home (OH) and in-home (IH) activities are closely related …
Developing and microsimulating demographic dynamics for an integrated urban model: a comparison between logistic regression and machine learning techniques
Studies have shown that sociodemographic attributes significantly influence individuals'
transportation choices. However, not all travel demand models do not account for this effect …
transportation choices. However, not all travel demand models do not account for this effect …