Traffic forecasting is important for the success of intelligent transportation systems. Deep
learning models, including convolution neural networks and recurrent neural networks, have …

Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

The advancement of Internet of Things (IoT) technologies leads to a wide penetration and
large-scale deployment of IoT systems across an entire city or even country. While IoT …

In recent decades, the development of transport infrastructure has had a great development,
although traffic problems continue to spread due to increase due to the increase in the …

As one of the most important applications of industrial Internet of Things, intelligent
transportation system aims to improve the efficiency and safety of transportation networks. In …

Accompanied with the development of green wireless communication, the green Internet of
Vehicles (GIoV) has been a latent solution for future transportation. Among them, intelligent …

The integration of multi-source sensors based AIoT (Artificial Intelligence of Things)
technologies into air quality measurement and forecasting is becoming increasingly critical …

Traffic prediction is an important management tool for traffic guidance and control and an
effective decision-making tool to help travelers plan routes and avoid congested road …

With the rapid development of intelligent operation and management in metro systems,
accurate network-scale passenger flow prediction has become an essential component in …

The trend of the era of the Internet of Everything has promoted the integration of various
industries and the Internet of Things (IoT) technology, and the scope of influence of the IoT is …