Intelligent transportation systems need to realize accurate traffic congestion prediction. The
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …

In recent years, with the rapid development of economy, more and more urban residents,
while owning their own motor vehicles, are also troubled by the traffic congestion caused by …

Traffic congestion is a significant problem faced by large and growing cities that hurt the
economy, commuters, and the environment. Forecasting the congestion level of a road …

Traffic flow forecasting has been a long-standing topic in intelligent transportation systems,
and a renewed interest has been seen in recent years due to the development of artificial …

Urban traffic flow prediction plays an important role in traffic flow control and urban safety
risk prevention and control. Timely and accurate traffic flow prediction can provide guidance …

Congestion on roadways is an issue in many cities, especially at peak times, which causes
air and noise pollution and cause pressure on citizens. So, the implementation of intelligent …

The traffic flow problem has become essential in urban planning and management in today's
increasingly urbanized world. Traditional traffic flow prediction models cannot fully consider …

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 …

Obtaining accurate information about current and near-term future traffic flows of all links in a
traffic network has a wide range of applications, including traffic forecasting, vehicle …

In recent years, the rapid economic development of China, the increase of the urban
population, the continuous growth of private car ownership, the uneven distribution of traffic …