Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

The use of data-driven techniques such as artificial neural network (ANN) models for
outdoor air pollution forecasting has been popular in the past two decades. However …

Air pollution is an important issue facing the sustainable development of cities. In the context
of rapid urbanization in China, a considerable number of cities show the coexistence of …

Traffic management is crucial for the sustainable development of smart cities. There has
been a continuous emphasis from the research community to predict air quality and manage …

Accurate air pollution forecasting may provide valuable information for urban planning to
maintain environmental sustainability and reduce mortality risk due to health problems. The …

Accurately inferring the spatiotemporal distribution of freeway traffic volume is one of the
bottleneck problems for intelligent management of ground transportation. Although the …

Traffic flow prediction is the most critical part of any traffic management system in a smart
city. It can help a driver to pick the most optimized way to their target destination. Air pollution …

Increased road traffic congestion is due to different factors, such as population and
economic growth, in different cities globally. On the other hand, many households afford …

The worldwide Sustainable Development Goals (SDGs) for smart cities and communities
focus significant attention on air quality and climate change. Technology and management …

Industry 4.0 technologies have a high potential to improve the planning and execution of
linear projects such as roads, bridges and railroads. These technologies can help reduce …