City planners are facing an emergency to develop, promote, and implement actions that
allow the mobility needs of people and businesses in cities (and their surroundings) to be …

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 …

The application of artificial intelligence (AI) to dynamic mobility management can support the
achievement of efficiency and sustainability goals. AI can help to model alternative mobility …

Noise is unwanted sound and Noise due to traffic is increasing due to increasing vehicular
movement on the roads. The increased noise levels lead to several adverse impacts on …

Ambient day and night noise levels prediction problems have traditionally been addressed
using various statistical and machine learning methods. This paper presents the time-series …

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 …

Urban traffic is currently considered as one of the noise sources in the city of Erzurum
province. As a disturbing sound, noise has several effects on environmental health and …

Noise in large urban areas, which is mainly generated by road traffic and by the human
activities carried out nearby and inside the area under study, is a relevant problem. The …

Motorized vehicles have emerged as significant contributors to air pollution in cities around
the world, particularly in developing countries where they constitute the primary source of …

The study assessed traffic noise exposure levels of citizens walking on the sidewalks at
important road crossings in commercial land zone regions of Chennai's suburbs. The noise …