With the gradual deepening of the research and governance of air pollution, chemical
transport models (CTMs), especially the third-generation CTMs based on the" 1 atm" theory …

Most develo** countries in the world face the common challenges of reducing air pollution
and advancing the process of sustainable development, especially in China. Air pollution …

Dynamic traffic management (DTM) systems are used to reduce the negative externalities of
traffic congestion, such as air pollution in urban areas. They require traffic and …

A transport analysis model of air pollutants based on complex networks is proposed to study
the spatiotemporal variation characteristics of air pollution during heavy air pollution …

Air quality prediction with black-box (BB) modelling is gaining widespread interest in
research and industry. This type of data-driven models work generally better in terms of …

In recent years, as the level of fine particulate matter (PM 2.5) concentration has become
more closely monitored in Thailand and its harmful effects on health have been widely …

ABSTRACT Background & Objective The use of machine learning for air pollution modelling
is rapidly increasing. We conducted a systematic review of studies comparing statistical and …

The air quality index (AQI) forecast in big cities is an exciting study area in smart cities and
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …

With the urbanization increase, urban mobility and transportation induce higher traffic
volumes causing environmental, economic and social impacts. This is due to continuous …

Urban air pollution is a pressing global issue driven by factors such as swift urbanization,
population expansion, and heightened industrial activities. To address this challenge, the …