To successfully deploy an intelligent transportation system, it is essential to construct an
effective method of traffic speed prediction. Recently, due to the advancements in sensor …

This paper proposes a estimation model based on Convolutional Long Short Term Memory
(ConvLSTM) model to estimate short-term traffic flow. ConvLSTM is an improved algorithm …

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 …

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 …

Accurate and timely short-term traffic prediction is important for Intelligent Transportation
System (ITS) to solve the traffic problem. This paper presents a hybrid model called SpAE …

Short-term traffic flow prediction is of importance for traffic control and guidance, and it also
plays a crucial role in the development of the management and maintenance of the cross …

With the increasing demand for intelligent transportation systems, short-term traffic flow
prediction has become an important research direction. The memory unit of a Long Short …

In the past decade, the number of cars in China has significantly raised, but the traffic jam
spree problem has brought great inconvenience to people's travel. Accurate and efficient …

Problem definition: The intelligent transportation system (ITS) plays a vital role in the
construction of smart cities. For the past few years, traffic flow prediction has been a hot …

With the rapid development of social economy, the traffic volume of urban roads has raised
significantly, which has led to increasingly serious urban traffic congestion problems, and …