Accurate short-term traffic flow forecasting facilitates active traffic control and trip planning.
Most existing traffic flow models fail to make full use of the temporal and spatial features of …

Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …

This study proposes a short-term traffic flow prediction framework. The vector autoregression
(VAR) model based on econometric theory and the CNN-LSTM hybrid neural network model …

The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …

Traffic flow forecasting is an important problem for the successful deployment of intelligent
transportation systems, which has been studied for more than two decades. In recent years …

Short‐term traffic flow prediction is fundamental for the intelligent transportation system and
is proved to be a challenge. This paper proposed a hybrid strategy that is general and can …

Traffic flow forecasting is the key to an intelligent transportation system (ITS). Currently, the
short-term traffic flow forecasting methods based on deep learning need to be further …

Accurate traffic flow prediction is the precondition for many applications in Intelligent
Transportation Systems, such as traffic control and route guidance. Traditional data driven …

Daily traffic flow forecasting is critical in advanced traffic management and can improve the
efficiency of fixed-time signal control. This paper presents a traffic prediction method for one …

To reduce the increasingly congestion in cities, it is essential for intelligent transportation
system (ITS) to accurately forecast the short-term traffic flow to identify the potential …