Forecasting future traffic flows from previous ones is a challenging problem because of their
complex and dynamic nature of spatio-temporal structures. Most existing graph-based CNNs …

Accurate traffic flow prediction is crucial for the development of intelligent transportation. It
can not only effectively avoid traffic congestion and other traffic problems, but also provide a …

Forecasting the traffic flows is a critical issue for researchers and practitioners in the field of
transportation. However, it is very challenging since the traffic flows usually show high …

The rapid urbanization and continuous improvement of road traffic equipment result in
massive daily production of traffic data. These data contain the long-term evolution of traffic …

Timely and accurate large-scale traffic prediction has gained increasing importance for traffic
management. However, it is a challenging task due to the high nonlinearity of traffic flow and …

Traffic flow prediction is an important part of the intelligent transportation system. Accurate
multi-step traffic flow prediction plays an important role in improving the operational …

Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …

Traffic flow prediction is crucial for intelligent transportation system, such as traffic
management, congestion alleviation and public risk assessment. Recently, attention …

Accurate traffic flow prediction relies on the comprehensive extraction of complex
spatiotemporal features from the traffic data. However, existing spatiotemporal models still …

Accurate and reliable traffic flow prediction is critical to the safe and stable deployment of
intelligent transportation systems. However, it is very challenging since the complex spatial …