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 …

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Accurate traffic flow data is crucial for traffic control and management in an intelligent
transportation system (ITS), and thus traffic flow prediction research attracts significant …

Expressway section speed can visually reflect the section operation condition, and accurate
short time section speed prediction has a wide range of applications in path planning and …

Deep learning techniques have been widely used in traffic flow prediction. They can perform
much better than shallow models. However, most existing deep learning models only focus …

Connected vehicles in intelligent transportation system (ITS) scenario rely on environmental
data for supporting user-centric applications along the driving time. Sensors equipped in the …

Accurate traffic flow prediction is critical for traffic management and route guidance, enabling
urban traffic to be free-flowing conditions and maximizing transport efficiency. In current …

Short‐term traffic flow prediction can provide a basis for traffic management and support for
travelers to make decisions. Accurate short‐term traffic flow prediction also provides …

In the last few years, there has been a significant rise in the number of private vehicles
ownership, migration of people from rural areas to urban cities, and the rise in the number of …

To face the booming passenger flow volumes, the optimization of pedestrian facilities plans
and the associated staff assignment plans in the transfer station, including adjusting …