Short-term traffic flow prediction plays a key role of Intelligent Transportation System (ITS),
which supports traffic planning, traffic management and control, roadway safety evaluation …

As a fundamental element of the traffic system, traffic signs reduce the risk of accidents by
providing essential information about the road condition to drivers, pedestrians, etc. With the …

Region-level traffic information can characterize dynamic changes of urban traffic at the
macro level. Real-time region-level traffic prediction help city traffic managers with traffic …

With the aggravation of traffic congestion, traffic flow data (TFD) prediction is very important
for traffic managers to control traffic congestion and for traffic participants to plan their trips …

As a necessary component in intelligent transportation systems (ITS), traffic flow-based
prediction can accurately estimate the traffic flow in a certain period and area in the future …

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 …

Providing an accurate prediction of water quality parameters for improved water quality
management is a topical issue in the aquaculture industry. Conventional prediction methods …

Short-term traffic flow prediction is a significant and challenging research topic as it is closely
related to the application of intelligent transportation systems. Due to the variable and …

Traffic flow decomposition is an alternative method to explore the composition of traffic flow
and improve prediction accuracy. However, most of them suffer from the inability to fully …

Accurate ship trajectory plays an important role for maritime traffic control and management,
and ship trajectory prediction with Automatic Identification System (AIS) data has attracted …