With the acceleration of urbanization, urban traffic congestion is becoming more and more
serious, in which the timing of signal lights for regional traffic optimization is particularly …

Accurate real-time traffic forecasting is a core technological problem against the
implementation of the intelligent transportation system. However, it remains challenging …

Accurate and real-time traffic forecasting plays an important role in the intelligent traffic
system and is of great significance for urban traffic planning, traffic management, and traffic …

The application of graph convolutional network in short-term traffic flow forecasting of road
network has effectively improved the prediction accuracy. The key point of this method is to …

Nowadays, accurately forecasting traffic in urban road networks is essential in intelligent
traffic systems. Therefore, this work aims to overcome the problem of spatial and temporal …

Regional traffic flow forecasting is the key to the realization of intelligent transportation
system. The existing traffic flow forecasting methods have problems such as insufficient …

Accurate and timely traffic forecasting is significant for intelligent transportation
management. However, existing approaches model the temporal and spatial features of …

In recent years, traffic forecasting has gradually become a core component of smart cities.
Due to the complex spatial-temporal correlation of traffic data, traffic flow prediction is highly …

Traffic forecasting is a challenging problem because of the irregular and complex road
network in space and the dynamic and non-stationary traffic flow in time. To solve this …

With the continuous increase in the number of motor vehicles and the frequent occurrence of
road congestion problems, it has become an important research topic to carry out …