Traffic flow forecasting is a necessary part in the intelligent transportation systems in
supporting dynamic and proactive traffic control and making traffic management plan …

Accurate and timely short-term traffic flow forecasting plays a key role in intelligent
transportation systems, especially for prospective traffic control. For the past decade, a …

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 …

Deep neural networks (DNNs) have recently demonstrated the capability to predict traffic
flow with big data. While existing DNN models can provide better performance than shallow …

Traffic flow forecasting is a useful technology applied to solve traffic congestion problems
and to improve transportation mobility. Neural networks related approaches have been …

Outbreak passenger flow is the main cause of rail transit congestion. In this regard, the
accurate forecast of passenger flow in advance will facilitate the traffic control department to …

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 increase of road traffic in large cities during the last years has produced that long and
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …

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 …

An accurate and reliable traffic flow prediction is of great significance, especially the long-
term traffic flow prediction eg, 24 hours, which can help the traffic decision-makers formulate …