Large-scale and diversified traffic data resources strongly support research into estimating
urban traffic states and predicting traffic flow. There are many studies on traffic prediction, but …

Accurate traffic flow forecasting is an important technical measure to alleviate traffic
congestion. Since traffic flow has spatial and temporal characteristics, thus the adequate …

Obtaining future traffic state evolution information is critical to traffic control algorithms design
and further to intelligent transportation systems. However, accurately predicting traffic state …

Traffic prediction is a major component of any traffic management system. With the increase
in data sources and advancement in connectivity, data analysis and machine learning …

Short-term traffic flow prediction is an integral part in most of Intelligent Transportation
Systems (ITS) research and applications. Many researchers have already developed …

Accurate and fine-grained traffic state prediction has always been an important research
field. For long-term traffic flow prediction, the high-dimensional and coupled traffic feature …

Dynamic traffic prediction is an important section of the urban intelligent transportation
system. Although there have been many studies in this area, it is still a challenge for the …

With the rapid increase in car ownership, urban transport systems are challenged by the
overwhelming traffic demand and congestion. Dynamic prediction of traffic flows is of …

Accurate traffic estimation on urban networks is a prerequisite for efficient traffic detection,
congestion warning, and transportation schedule. The current estimation methods can be …

In recent years, traffic flow prediction has attracted more and more interest from both
academia and industry since such information can provide effective guidance for traffic …