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 …

It is very important for intelligent transportation development to realize accurate and fast
traffic forecast. However, dominant models for short-term traffic flow forecasting can't extract …

Short-term traffic flow prediction can provide a basis for traffic management and support for
travelers to make decisions. Accurate short-term traffic flow prediction also provides …

Traffic flow prediction is one of the basic, key problems with developing an intelligent
transportation system since accurate and timely traffic flow prediction can provide …

As an important part of the intelligent transportation system (ITS), short‐term traffic prediction
has become a hot research topic in the field of traffic engineering. In recent years, with the …

Traffic congestion is a thorny issue to many large and medium-sized cities, posing a serious
threat to sustainable urban development. Recently, intelligent traffic system (ITS) has …

The prediction about short-term traffic flow is a crucial research field in Intelligent
Transportation Systems (ITS), which focuses on forecasting traffic data to provide data for …

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 …

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 …

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